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@inproceedings{DBLP:conf/uai/0001CC22, author = {Jungtaek Kim and Seungjin Choi and Minsu Cho}, editor = {James Cussens and Kun Zhang}, title = {Combinatorial Bayesian optimization with random mapping functions to convex polytopes}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1001--1011}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kim22a.html}, timestamp = {Sat, 15 Oct 2022 12:08:13 +0200}, biburl = {https://dblp.org/rec/conf/uai/0001CC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0001VTDMK22, author = {Zhongjie Yu and Fabrizio Ventola and Nils Thoma and Devendra Singh Dhami and Martin Mundt and Kristian Kersting}, editor = {James Cussens and Kun Zhang}, title = {Predictive Whittle networks for time series}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2320--2330}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yu22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0001VTDMK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/00020ZHC22, author = {Xinwei Shen and Shengyu Zhu and Jiji Zhang and Shoubo Hu and Zhitang Chen}, editor = {James Cussens and Kun Zhang}, title = {Reframed {GES} with a neural conditional dependence measure}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1782--1791}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/shen22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/00020ZHC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0002BDD22, author = {Yuyang Shi and Valentin De Bortoli and George Deligiannidis and Arnaud Doucet}, editor = {James Cussens and Kun Zhang}, title = {Conditional simulation using diffusion Schr{\"{o}}dinger bridges}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1792--1802}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/shi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0002BDD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0002SD0K22, author = {Rui Yan and Gabriel Santos and Xiaoming Duan and David Parker and Marta Kwiatkowska}, editor = {James Cussens and Kun Zhang}, title = {Finite-horizon equilibria for neuro-symbolic concurrent stochastic games}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2170--2180}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yan22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0002SD0K22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0002Z0LL22, author = {Xutong Liu and Haoru Zhao and Tong Yu and Shuai Li and John C. S. Lui}, editor = {James Cussens and Kun Zhang}, title = {Federated online clustering of bandits}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1221--1231}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/liu22a.html}, timestamp = {Mon, 21 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0002Z0LL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0004NL0TP22, author = {Tuan Nguyen and Van Nguyen and Trung Le and He Zhao and Quan Hung Tran and Dinh Q. Phung}, editor = {James Cussens and Kun Zhang}, title = {Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1519--1529}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nguyen22c.html}, timestamp = {Thu, 29 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0004NL0TP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0006MFHPP22, author = {Lu Yin and Vlado Menkovski and Meng Fang and Tianjin Huang and Yulong Pei and Mykola Pechenizkiy}, editor = {James Cussens and Kun Zhang}, title = {Superposing many tickets into one: {A} performance booster for sparse neural network training}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2267--2277}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yin22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0006MFHPP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0009FB22, author = {Yao Liu and Yannis Flet{-}Berliac and Emma Brunskill}, editor = {James Cussens and Kun Zhang}, title = {Offline policy optimization with eligible actions}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1253--1263}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/liu22d.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0009FB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0009W022, author = {Yichen Yang and Xiaosen Wang and Kun He}, editor = {James Cussens and Kun Zhang}, title = {Robust textual embedding against word-level adversarial attacks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2214--2224}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yang22c.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0009W022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/0011SP022, author = {Zhipeng Huang and Hadeel Soliman and Subhadeep Paul and Kevin S. Xu}, editor = {James Cussens and Kun Zhang}, title = {A mutually exciting latent space Hawkes process model for continuous-time networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {863--873}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/huang22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/0011SP022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AbeSI22, author = {Kenshi Abe and Mitsuki Sakamoto and Atsushi Iwasaki}, editor = {James Cussens and Kun Zhang}, title = {Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1--10}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/abe22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AbeSI22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AgarwalBA22, author = {Mridul Agarwal and Qinbo Bai and Vaneet Aggarwal}, editor = {James Cussens and Kun Zhang}, title = {Regret guarantees for model-based reinforcement learning with long-term average constraints}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {22--31}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/agarwal22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AgarwalBA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AgarwalKID22, author = {Sakshi Agarwal and Kalev Kask and Alexander Ihler and Rina Dechter}, editor = {James Cussens and Kun Zhang}, title = {NeuroBE: Escalating neural network approximations of Bucket Elimination}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {11--21}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/agarwal22a.html}, timestamp = {Tue, 06 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/AgarwalKID22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AgiolloO22, author = {Andrea Agiollo and Andrea Omicini}, editor = {James Cussens and Kun Zhang}, title = {{GNN2GNN:} Graph neural networks to generate neural networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {32--42}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/agiollo22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AgiolloO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AhmedWCB22, author = {Kareem Ahmed and Eric Wang and Kai{-}Wei Chang and Guy Van den Broeck}, editor = {James Cussens and Kun Zhang}, title = {Neuro-symbolic entropy regularization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {43--53}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ahmed22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AhmedWCB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AhsanFAZ22, author = {Ragib Ahsan and Zahra Fatemi and David Arbour and Elena Zheleva}, editor = {James Cussens and Kun Zhang}, title = {Non-parametric inference of relational dependence}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {54--63}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ahsan22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AhsanFAZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AlfarraBTG22, author = {Motasem Alfarra and Adel Bibi and Philip H. S. Torr and Bernard Ghanem}, editor = {James Cussens and Kun Zhang}, title = {Data dependent randomized smoothing}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {64--74}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/alfarra22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AlfarraBTG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AlloucheLY22, author = {Tahar Allouche and J{\'{e}}r{\^{o}}me Lang and Florian Yger}, editor = {James Cussens and Kun Zhang}, title = {Multi-winner approval voting goes epistemic}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {75--84}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/allouche22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/AlloucheLY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Andriushchenko022, author = {Roman Andriushchenko and Milan Ceska and Sebastian Junges and Joost{-}Pieter Katoen}, editor = {James Cussens and Kun Zhang}, title = {Inductive synthesis of finite-state controllers for POMDPs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {85--95}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/andriushchenko22a.html}, timestamp = {Mon, 05 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/Andriushchenko022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/AssaadDG22, author = {Charles K. Assaad and Emilie Devijver and {\'{E}}ric Gaussier}, editor = {James Cussens and Kun Zhang}, title = {Discovery of extended summary graphs in time series}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {96--106}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/assaad22a.html}, timestamp = {Tue, 21 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/AssaadDG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BaiseroDA22, author = {Andrea Baisero and Brett Daley and Christopher Amato}, editor = {James Cussens and Kun Zhang}, title = {Asymmetric {DQN} for partially observable reinforcement learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {107--117}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/baisero22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BaiseroDA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Bao0MX22, author = {Yajie Bao and Weidong Liu and Xiaojun Mao and Weijia Xiong}, editor = {James Cussens and Kun Zhang}, title = {Byzantine-tolerant distributed multiclass sparse linear discriminant analysis}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {129--138}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bao22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Bao0MX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BaoCJGSJ22, author = {Tianshu Bao and Shengyu Chen and Taylor T. Johnson and Peyman Givi and Shervin Sammak and Xiaowei Jia}, editor = {James Cussens and Kun Zhang}, title = {Physics guided neural networks for spatio-temporal super-resolution of turbulent flows}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {118--128}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bao22a.html}, timestamp = {Sun, 04 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BaoCJGSJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BartunovFL22, author = {Sergey Bartunov and Fabian B. Fuchs and Timothy P. Lillicrap}, editor = {James Cussens and Kun Zhang}, title = {Equilibrium aggregation: encoding sets via optimization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {139--149}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bartunov22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BartunovFL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BenzR22, author = {Nina L. Corvelo Benz and Manuel Gomez Rodriguez}, editor = {James Cussens and Kun Zhang}, title = {Counterfactual inference of second Opinions}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {453--463}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/corvelo-benz22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BenzR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BerenbrinkCGMMR22, author = {Petra Berenbrink and Colin Cooper and Cristina Gava and David Kohan Marzag{\~{a}}o and Frederik Mallmann{-}Trenn and Tomasz Radzik}, editor = {James Cussens and Kun Zhang}, title = {On early extinction and the effect of travelling in the {SIR} model}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {159--169}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/berenbrink22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BerenbrinkCGMMR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BesserveS22, author = {Michel Besserve and Bernhard Sch{\"{o}}lkopf}, editor = {James Cussens and Kun Zhang}, title = {Learning soft interventions in complex equilibrium systems}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {170--180}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/besserve22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BesserveS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BhatA22, author = {Sanjay P. Bhat and Chaitanya Amballa}, editor = {James Cussens and Kun Zhang}, title = {Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {181--190}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bhat22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BhatA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BhattF022, author = {Sujay Bhatt and Guanhua Fang and Ping Li}, editor = {James Cussens and Kun Zhang}, title = {Offline change detection under contamination}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {191--201}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bhatt22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BhattF022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BhattacharyaN22, author = {Rohit Bhattacharya and Razieh Nabi}, editor = {James Cussens and Kun Zhang}, title = {On testability of the front-door model via Verma constraints}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {202--212}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bhattacharya22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BhattacharyaN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BlomM22, author = {Tineke Blom and Joris M. Mooij}, editor = {James Cussens and Kun Zhang}, title = {Robustness of model predictions under extension}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {213--222}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/blom22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BlomM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BonjourAB22, author = {Trevor Bonjour and Vaneet Aggarwal and Bharat K. Bhargava}, editor = {James Cussens and Kun Zhang}, title = {Information theoretic approach to detect collusion in multi-agent games}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {223--232}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bonjour22a.html}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BonjourAB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BraunGL022, author = {Tanya Braun and Marcel Gehrke and Florian Lau and Ralf M{\"{o}}ller}, editor = {James Cussens and Kun Zhang}, title = {Lifting in multi-agent systems under uncertainty}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {233--243}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/braun22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BraunGL022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BrazdilK0M0R22, author = {Tom{\'{a}}s Br{\'{a}}zdil and David Klaska and Anton{\'{\i}}n Kucera and V{\'{\i}}t Musil and Petr Novotn{\'{y}} and Vojtech Reh{\'{a}}k}, editor = {James Cussens and Kun Zhang}, title = {On-the-fly adaptation of patrolling strategies in changing environments}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {244--254}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/brazdil22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BrazdilK0M0R22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/BronsteinBG22, author = {Ido Bronstein and Alon Brutzkus and Amir Globerson}, editor = {James Cussens and Kun Zhang}, title = {On the inductive bias of neural networks for learning read-once DNFs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {255--265}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/bronstein22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/BronsteinBG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/CaiJHYX22, author = {Difeng Cai and Yuliang Ji and Huan He and Qiang Ye and Yuanzhe Xi}, editor = {James Cussens and Kun Zhang}, title = {{AUTM} flow: atomic unrestricted time machine for monotonic normalizing flows}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {266--274}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/cai22a.html}, timestamp = {Wed, 11 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/CaiJHYX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/CaoL22, author = {Yiting Cao and Chao Lan}, editor = {James Cussens and Kun Zhang}, title = {Active approximately metric-fair learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {275--285}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/cao22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/CaoL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChapfuwaRCMH22, author = {Paidamoyo Chapfuwa and Sherri Rose and Lawrence Carin and Edward Meeds and Ricardo Henao}, editor = {James Cussens and Kun Zhang}, title = {Capturing actionable dynamics with structured latent ordinary differential equations}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {286--295}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chapfuwa22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChapfuwaRCMH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChaudhuriGR22, author = {Kamalika Chaudhuri and Chuan Guo and Mike Rabbat}, editor = {James Cussens and Kun Zhang}, title = {Privacy-aware compression for federated data analysis}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {296--306}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chaudhuri22a.html}, timestamp = {Wed, 02 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChaudhuriGR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChehabGH22, author = {Omar Chehab and Alexandre Gramfort and Aapo Hyv{\"{a}}rinen}, editor = {James Cussens and Kun Zhang}, title = {The optimal noise in noise-contrastive learning is not what you think}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {307--316}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chehab22a.html}, timestamp = {Sun, 06 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChehabGH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Chen022, author = {Jinglin Chen and Nan Jiang}, editor = {James Cussens and Kun Zhang}, title = {Offline reinforcement learning under value and density-ratio realizability: The power of gaps}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {378--388}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22g.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Chen022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChenD22, author = {Yizuo Chen and Adnan Darwiche}, editor = {James Cussens and Kun Zhang}, title = {On the definition and computation of causal treewidth}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {368--377}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22f.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChenD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChenFAZSFR22, author = {Mayee F. Chen and Daniel Y. Fu and Dyah Adila and Michael Zhang and Frederic Sala and Kayvon Fatahalian and Christopher R{\'{e}}}, editor = {James Cussens and Kun Zhang}, title = {Shoring up the foundations: fusing model embeddings and weak supervision}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {357--367}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22e.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChenFAZSFR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChenLYD22, author = {Qi Chen and Kai Liu and Ruilong Yao and Hu Ding}, editor = {James Cussens and Kun Zhang}, title = {Sublinear time algorithms for greedy selection in high dimensions}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {346--356}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22d.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChenLYD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChenSK22, author = {John Chen and Samarth Sinha and Anastasios Kyrillidis}, editor = {James Cussens and Kun Zhang}, title = {Stackmix: a complementary mix algorithm}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {326--335}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22b.html}, timestamp = {Mon, 06 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/ChenSK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChenT0XY22, author = {Mengjing Chen and Pingzhong Tang and Zihe Wang and Shenke Xiao and Xiwang Yang}, editor = {James Cussens and Kun Zhang}, title = {A competitive analysis of online failure-aware assignment}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {317--325}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChenT0XY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChenZGSH22, author = {Xinyuan Chen and Zhongmei Zhou and Meichun Gao and Daya Shi and Mohd Nizam Husen}, editor = {James Cussens and Kun Zhang}, title = {Knowledge representation combining quaternion path integration and depth-wise atrous circular convolution}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {336--345}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chen22c.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChenZGSH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChengBHT022, author = {Runxiang Cheng and Gargi Balasubramaniam and Yifei He and Yao{-}Hung Hubert Tsai and Han Zhao}, editor = {James Cussens and Kun Zhang}, title = {Greedy modality selection via approximate submodular maximization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {389--399}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/cheng22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChengBHT022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChikaharaYK22, author = {Yoichi Chikahara and Makoto Yamada and Hisashi Kashima}, editor = {James Cussens and Kun Zhang}, title = {Feature selection for discovering distributional treatment effect modifiers}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {400--410}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chikahara22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChikaharaYK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChoiL22, author = {Kwanghee Choi and Siyeong Lee}, editor = {James Cussens and Kun Zhang}, title = {Combating the instability of mutual information-based losses via regularization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {411--421}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/choi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChoiL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Chouraqui0EL22, author = {Gabriella Chouraqui and Liron Cohen and Gil Einziger and Liel Leman}, editor = {James Cussens and Kun Zhang}, title = {A geometric method for improved uncertainty estimation in real-time}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {422--432}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chouraqui22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Chouraqui0EL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ChunLK22, author = {Sewhan Chun and Jae Young Lee and Junmo Kim}, editor = {James Cussens and Kun Zhang}, title = {Cyclic test time augmentation with entropy weight method}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {433--442}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/chun22a.html}, timestamp = {Fri, 03 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ChunLK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ClaassenB22, author = {Tom Claassen and Ioan Gabriel Bucur}, editor = {James Cussens and Kun Zhang}, title = {Greedy equivalence search in the presence of latent confounders}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {443--452}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/claassen22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ClaassenB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/CuiWGTJ22, author = {Zijun Cui and Hanjing Wang and Tian Gao and Kartik Talamadupula and Qiang Ji}, editor = {James Cussens and Kun Zhang}, title = {Variational message passing neural network for Maximum-A-Posteriori {(MAP)} inference}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {464--474}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/cui22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/CuiWGTJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DaiCYLJ22, author = {Zhongxiang Dai and Yizhou Chen and Haibin Yu and Bryan Kian Hsiang Low and Patrick Jaillet}, editor = {James Cussens and Kun Zhang}, title = {On provably robust meta-Bayesian optimization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {475--485}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/dai22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DaiCYLJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DasAHSDT22, author = {Rudrajit Das and Anish Acharya and Abolfazl Hashemi and Sujay Sanghavi and Inderjit S. Dhillon and Ufuk Topcu}, editor = {James Cussens and Kun Zhang}, title = {Faster non-convex federated learning via global and local momentum}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {496--506}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/das22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DasAHSDT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DasDG0G22, author = {Shantanu Das and Swapnil Dhamal and Ganesh Ghalme and Shweta Jain and Sujit Gujar}, editor = {James Cussens and Kun Zhang}, title = {Individual fairness in feature-based pricing for monopoly markets}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {486--495}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/das22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DasDG0G22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DaultonEBB22, author = {Samuel Daulton and David Eriksson and Maximilian Balandat and Eytan Bakshy}, editor = {James Cussens and Kun Zhang}, title = {Multi-objective Bayesian optimization over high-dimensional search spaces}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {507--517}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/daulton22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DaultonEBB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DeleuGERLBB22, author = {Tristan Deleu and Ant{\'{o}}nio G{\'{o}}is and Chris Emezue and Mansi Rankawat and Simon Lacoste{-}Julien and Stefan Bauer and Yoshua Bengio}, editor = {James Cussens and Kun Zhang}, title = {Bayesian structure learning with generative flow networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {518--528}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/deleu22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DeleuGERLBB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DengM22, author = {Grace Deng and David S. Matteson}, editor = {James Cussens and Kun Zhang}, title = {Bayesian spillover graphs for dynamic networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {529--538}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/deng22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DengM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DenisDS22, author = {Christophe Denis and Charlotte Dion{-}Blanc and Laure Sansonnet}, editor = {James Cussens and Kun Zhang}, title = {Multiclass classification for Hawkes processes}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {539--547}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/denis22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DenisDS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DiGiovanniT22, author = {Anthony DiGiovanni and Ambuj Tewari}, editor = {James Cussens and Kun Zhang}, title = {Balancing adaptability and non-exploitability in repeated games}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {559--568}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/digiovanni22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DiGiovanniT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DinariF22, author = {Or Dinari and Oren Freifeld}, editor = {James Cussens and Kun Zhang}, title = {Variational- and metric-based deep latent space for out-of-distribution detection}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {569--578}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/dinari22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DinariF22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DinariF22a, author = {Or Dinari and Oren Freifeld}, editor = {James Cussens and Kun Zhang}, title = {Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {579--588}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/dinari22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DinariF22a.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DingX22, author = {Fan Ding and Yexiang Xue}, editor = {James Cussens and Kun Zhang}, title = {{X-MEN:} guaranteed XOR-maximum entropy constrained inverse reinforcement learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {589--598}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ding22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DingX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DubeyVPK22, author = {Punit Pankaj Dubey and Bhisham Dev Verma and Rameshwar Pratap and Keegan Kang}, editor = {James Cussens and Kun Zhang}, title = {Improving sign-random-projection via count sketch}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {599--609}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/dubey22a.html}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DubeyVPK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/DunWJK22, author = {Chen Dun and Cameron R. Wolfe and Christopher M. Jermaine and Anastasios Kyrillidis}, editor = {James Cussens and Kun Zhang}, title = {ResIST: Layer-wise decomposition of ResNets for distributed training}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {610--620}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/dun22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/DunWJK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Embar0G22, author = {Varun Embar and Sriram Srinivasan and Lise Getoor}, editor = {James Cussens and Kun Zhang}, title = {Learning explainable templated graphical models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {621--630}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/embar22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Embar0G22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ErikssonBAD22, author = {Hannes Eriksson and Debabrota Basu and Mina Alibeigi and Christos Dimitrakakis}, editor = {James Cussens and Kun Zhang}, title = {{SENTINEL:} taming uncertainty with ensemble based distributional reinforcement learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {631--640}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/eriksson22a.html}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/ErikssonBAD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ErraqabiMZSLDB22, author = {Akram Erraqabi and Marlos C. Machado and Mingde Zhao and Sainbayar Sukhbaatar and Alessandro Lazaric and Ludovic Denoyer and Yoshua Bengio}, editor = {James Cussens and Kun Zhang}, title = {Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in {RL}}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {641--651}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/erraqabi22a.html}, timestamp = {Tue, 28 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ErraqabiMZSLDB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/FalkCP22, author = {John Isak Texas Falk and Carlo Ciliberto and Massimiliano Pontil}, editor = {James Cussens and Kun Zhang}, title = {Implicit kernel meta-learning using kernel integral forms}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {652--662}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/falk22a.html}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/FalkCP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/FathullahG22, author = {Yassir Fathullah and Mark J. F. Gales}, editor = {James Cussens and Kun Zhang}, title = {Self-distribution distillation: efficient uncertainty estimation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {663--673}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/fathullah22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/FathullahG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/FengPPSPG22, author = {Jean Feng and Gene Pennello and Nicholas Petrick and Berkman Sahiner and Romain Pirracchio and Alexej Gossmann}, editor = {James Cussens and Kun Zhang}, title = {Sequential algorithmic modification with test data reuse}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {674--684}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/feng22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/FengPPSPG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GargGCGASN22, author = {Sahil Garg and Umang Gupta and Yu Chen and Syamantak Datta Gupta and Yeshaya Adler and Anderson Schneider and Yuriy Nevmyvaka}, editor = {James Cussens and Kun Zhang}, title = {Estimating transfer entropy under long ranged dependencies}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {685--695}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/garg22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GargGCGASN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GhalebikesabiWJ22, author = {Sahra Ghalebikesabi and Harry Wilde and Jack Jewson and Arnaud Doucet and Sebastian J. Vollmer and Chris C. Holmes}, editor = {James Cussens and Kun Zhang}, title = {Mitigating statistical bias within differentially private synthetic data}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {696--705}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ghalebikesabi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GhalebikesabiWJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GhoshWLN22, author = {Supriyo Ghosh and Laura Wynter and Shiau Hong Lim and Duc Thien Nguyen}, editor = {James Cussens and Kun Zhang}, title = {Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {707--717}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ghosh22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GhoshWLN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GlazunovZ22, author = {Misha Glazunov and Apostolis Zarras}, editor = {James Cussens and Kun Zhang}, title = {Do Bayesian variational autoencoders know what they don't know?}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {718--727}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/glazunov22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GlazunovZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GoI22, author = {Jinwoo Go and Tobin Isaac}, editor = {James Cussens and Kun Zhang}, title = {Robust expected information gain for optimal Bayesian experimental design using ambiguity sets}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {728--737}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/go22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GoI22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GubriCPTS22, author = {Martin Gubri and Maxime Cordy and Mike Papadakis and Yves Le Traon and Koushik Sen}, editor = {James Cussens and Kun Zhang}, title = {Efficient and transferable adversarial examples from bayesian neural networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {738--748}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/gubri22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GubriCPTS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/GuptaSBL22, author = {Soumyajit Gupta and Gurpreet Singh and Raghu Bollapragada and Matthew Lease}, editor = {James Cussens and Kun Zhang}, title = {Learning a neural Pareto manifold extractor with constraints}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {749--758}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/gupta22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/GuptaSBL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HasanEN0FBT22, author = {Ali Hasan and Khalil Elkhalil and Yuting Ng and Jo{\~{a}}o M. Pereira and Sina Farsiu and Jose H. Blanchet and Vahid Tarokh}, editor = {James Cussens and Kun Zhang}, title = {Modeling extremes with d-max-decreasing neural networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {759--768}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hasan22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HasanEN0FBT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HattTF22, author = {Tobias Hatt and Daniel Tschernutter and Stefan Feuerriegel}, editor = {James Cussens and Kun Zhang}, title = {Generalizing off-policy learning under sample selection bias}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {769--779}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hatt22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HattTF22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HeDB22, author = {Keyang He and Prashant Doshi and Bikramjit Banerjee}, editor = {James Cussens and Kun Zhang}, title = {Reinforcement learning in many-agent settings under partial observability}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {780--789}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/he22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HeDB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HegdeYLKH22, author = {Pashupati Hegde and {\c{C}}agatay Yildiz and Harri L{\"{a}}hdesm{\"{a}}ki and Samuel Kaski and Markus Heinonen}, editor = {James Cussens and Kun Zhang}, title = {Variational multiple shooting for Bayesian ODEs with Gaussian processes}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {790--799}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hegde22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HegdeYLKH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HerinPS22, author = {Margot Herin and Patrice Perny and Nataliya Sokolovska}, editor = {James Cussens and Kun Zhang}, title = {Learning sparse representations of preferences within Choquet expected utility theory}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {800--810}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/herin22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HerinPS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HiranandaniMNK22, author = {Gaurush Hiranandani and Jatin Mathur and Harikrishna Narasimhan and Oluwasanmi Koyejo}, editor = {James Cussens and Kun Zhang}, title = {Quadratic metric elicitation for fairness and beyond}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {811--821}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hiranandani22a.html}, timestamp = {Sun, 06 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HiranandaniMNK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HobbhahnKH22, author = {Marius Hobbhahn and Agustinus Kristiadi and Philipp Hennig}, editor = {James Cussens and Kun Zhang}, title = {Fast predictive uncertainty for classification with Bayesian deep networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {822--832}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hobbhahn22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HobbhahnKH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Hosoya22, author = {Haruo Hosoya}, editor = {James Cussens and Kun Zhang}, title = {{CIGMO:} Categorical invariant representations in a deep generative framework}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {833--843}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hosoya22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Hosoya22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Hu022, author = {Bingshan Hu and Nidhi Hegde}, editor = {James Cussens and Kun Zhang}, title = {Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {844--852}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hu22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Hu022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HuangSRB22, author = {Kexin Huang and Vishnu Sresht and Brajesh K. Rai and Mykola Bordyuh}, editor = {James Cussens and Kun Zhang}, title = {Uncertainty-aware pseudo-labeling for quantum calculations}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {853--862}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/huang22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HuangSRB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HullermeierDS22, author = {Eyke H{\"{u}}llermeier and S{\'{e}}bastien Destercke and Mohammad Hossein Shaker}, editor = {James Cussens and Kun Zhang}, title = {Quantification of Credal Uncertainty in Machine Learning: {A} Critical Analysis and Empirical Comparison}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {548--557}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hullermeier22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HullermeierDS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/HyttinenPH22, author = {Antti Hyttinen and Vit{\'{o}}ria Barin Pacela and Aapo Hyv{\"{a}}rinen}, editor = {James Cussens and Kun Zhang}, title = {Binary independent component analysis: a non-stationarity-based approach}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {874--884}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/hyttinen22a.html}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/HyttinenPH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ImolaKWAT22, author = {Jacob Imola and Shiva Prasad Kasiviswanathan and Stephen White and Abhinav Aggarwal and Nathanael Teissier}, editor = {James Cussens and Kun Zhang}, title = {Balancing utility and scalability in metric differential privacy}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {885--894}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/imola22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ImolaKWAT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/JainVBSP22, author = {Arushi Jain and Sharan Vaswani and Reza Babanezhad and Csaba Szepesv{\'{a}}ari and Doina Precup}, editor = {James Cussens and Kun Zhang}, title = {Towards painless policy optimization for constrained MDPs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {895--905}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/jain22a.html}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/JainVBSP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/JhunjhunwalaSNJ22, author = {Divyansh Jhunjhunwala and Pranay Sharma and Aushim Nagarkatti and Gauri Joshi}, editor = {James Cussens and Kun Zhang}, title = {Fedvarp: Tackling the variance due to partial client participation in federated learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {906--916}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/jhunjhunwala22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/JhunjhunwalaSNJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/JinYZ22, author = {Hongwei Jin and Zishun Yu and Xinhua Zhang}, editor = {James Cussens and Kun Zhang}, title = {Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {917--927}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/jin22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/JinYZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/JonesSKM22, author = {Haydn T. Jones and Jacob M. Springer and Garrett T. Kenyon and Juston S. Moore}, editor = {James Cussens and Kun Zhang}, title = {If you've trained one you've trained them all: inter-architecture similarity increases with robustness}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {928--937}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/jones22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/JonesSKM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KakarlapudiAEDS22, author = {Anirudh Kakarlapudi and Gayathri Anil and Adam Eck and Prashant Doshi and Leen{-}Kiat Soh}, editor = {James Cussens and Kun Zhang}, title = {Decision-theoretic planning with communication in open multiagent systems}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {938--948}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kakarlapudi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/KakarlapudiAEDS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KalagarlaDS0NN22, author = {Krishna Chaitanya Kalagarla and Kartik Dhruva and Dongming Shen and Rahul Jain and Ashutosh Nayyar and Pierluigi Nuzzo}, editor = {James Cussens and Kun Zhang}, title = {Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {949--958}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kalagarla22a.html}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/KalagarlaDS0NN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Kamulete22, author = {Vathy M. Kamulete}, editor = {James Cussens and Kun Zhang}, title = {Test for non-negligible adverse shifts}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {959--968}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kamulete22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Kamulete22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KarczmarzM0SW22, author = {Adam Karczmarz and Tomasz P. Michalak and Anish Mukherjee and Piotr Sankowski and Piotr Wygocki}, editor = {James Cussens and Kun Zhang}, title = {Improved feature importance computation for tree models based on the Banzhaf value}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {969--979}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/karczmarz22a.html}, timestamp = {Mon, 07 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/KarczmarzM0SW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KashWZ22, author = {Ian A. Kash and Zhongkai Wen and Lenore D. Zuck}, editor = {James Cussens and Kun Zhang}, title = {Dynamic relocation in ridesharing via fixpoint construction}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {980--989}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kash22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/KashWZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KillianXBT22, author = {Jackson A. Killian and Lily Xu and Arpita Biswas and Milind Tambe}, editor = {James Cussens and Kun Zhang}, title = {Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {990--1000}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/killian22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/KillianXBT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KireevAF22, author = {Klim Kireev and Maksym Andriushchenko and Nicolas Flammarion}, editor = {James Cussens and Kun Zhang}, title = {On the effectiveness of adversarial training against common corruptions}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1012--1021}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kireev22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/KireevAF22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/KivvaMEK22, author = {Yaroslav Kivva and Ehsan Mokhtarian and Jalal Etesami and Negar Kiyavash}, editor = {James Cussens and Kun Zhang}, title = {Revisiting the general identifiability problem}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1022--1030}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kivva22a.html}, timestamp = {Sun, 06 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/KivvaMEK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Krak22, author = {Thomas Krak}, editor = {James Cussens and Kun Zhang}, title = {Hitting times for continuous-time imprecise-Markov chains}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1031--1040}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/krak22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Krak22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Kumar0LR22, author = {Ananya Kumar and Tengyu Ma and Percy Liang and Aditi Raghunathan}, editor = {James Cussens and Kun Zhang}, title = {Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1041--1051}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/kumar22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Kumar0LR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LamAR22, author = {Wai{-}Yin Lam and Bryan Andrews and Joseph D. Ramsey}, editor = {James Cussens and Kun Zhang}, title = {Greedy relaxations of the sparsest permutation algorithm}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1052--1062}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lam22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LamAR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LangeBHP22, author = {Richard D. Lange and Ari S. Benjamin and Ralf M. Haefner and Xaq Pitkow}, editor = {James Cussens and Kun Zhang}, title = {Interpolating between sampling and variational inference with infinite stochastic mixtures}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1063--1073}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lange22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LangeBHP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Lee022, author = {Hyemin Lee and Daijin Kim}, editor = {James Cussens and Kun Zhang}, title = {Systematized event-aware learning for multi-object tracking}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1074--1084}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lee22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Lee022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LeisenbergerP022, author = {Harald Leisenberger and Franz Pernkopf and Christian Knoll}, editor = {James Cussens and Kun Zhang}, title = {Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1085--1095}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/leisenberger22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LeisenbergerP022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LewCM22, author = {Alexander K. Lew and Marco F. Cusumano{-}Towner and Vikash K. Mansinghka}, editor = {James Cussens and Kun Zhang}, title = {Recursive Monte Carlo and variational inference with auxiliary variables}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1096--1106}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lew22a.html}, timestamp = {Fri, 06 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/LewCM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Li00X22, author = {Naiqi Li and Wenjie Li and Yong Jiang and Shu{-}Tao Xia}, editor = {James Cussens and Kun Zhang}, title = {Deep Dirichlet process mixture models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1138--1147}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22c.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Li00X22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiBY22, author = {Zihao Li and Xiaohui Bei and Zhenzhen Yan}, editor = {James Cussens and Kun Zhang}, title = {Proportional allocation of indivisible resources under ordinal and uncertain preferences}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1148--1157}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22d.html}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/LiBY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiDRB22, author = {Weizhi Li and Gautam Dasarathy and Karthikeyan Natesan Ramamurthy and Visar Berisha}, editor = {James Cussens and Kun Zhang}, title = {A label efficient two-sample test}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1168--1177}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22f.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiDRB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiJA22, author = {Qiyang Li and Ajay Jain and Pieter Abbeel}, editor = {James Cussens and Kun Zhang}, title = {AdaCat: Adaptive categorical discretization for autoregressive models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1188--1198}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22h.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiJA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiJMJCTV22, author = {Zun Li and Feiran Jia and Aditya Mate and Shahin Jabbari and Mithun Chakraborty and Milind Tambe and Yevgeniy Vorobeychik}, editor = {James Cussens and Kun Zhang}, title = {Solving structured hierarchical games using differential backward induction}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1107--1117}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22a.html}, timestamp = {Tue, 01 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiJMJCTV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiN0ZHC22, author = {Wenjie Li and Wasif Naeem and Jia Liu and Dequan Zheng and Wei Hao and Lijun Chen}, editor = {James Cussens and Kun Zhang}, title = {PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on {SE(3)}}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1118--1127}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22b.html}, timestamp = {Tue, 13 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiN0ZHC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiSR22, author = {Wanshan Li and Shamindra Shrotriya and Alessandro Rinaldo}, editor = {James Cussens and Kun Zhang}, title = {{\(\mathscr{l}\)}\({}_{\mbox{{\(\infty\)}}}\)-Bounds of the {MLE} in the {BTL} Model under General Comparison Graphs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1178--1187}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22g.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiSR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiV22, author = {Dexun Li and Pradeep Varakantham}, editor = {James Cussens and Kun Zhang}, title = {Efficient resource allocation with fairness constraints in restless multi-armed bandits}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1158--1167}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/li22e.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LindingerRL22, author = {Jakob Lindinger and Barbara Rakitsch and Christoph Lippert}, editor = {James Cussens and Kun Zhang}, title = {Laplace approximated Gaussian process state-space models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1199--1209}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lindinger22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LindingerRL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LingX22, author = {Yurong Ling and Jing{-}Hao Xue}, editor = {James Cussens and Kun Zhang}, title = {Dimension reduction for high-dimensional small counts with {KL} divergence}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1210--1220}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ling22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LingX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiuCYFLL22, author = {Zizhen Liu and Si Chen and Jing Ye and Junfeng Fan and Huawei Li and Xiaowei Li}, editor = {James Cussens and Kun Zhang}, title = {{SASH:} Efficient secure aggregation based on {SHPRG} for federated learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1243--1252}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/liu22c.html}, timestamp = {Mon, 22 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LiuCYFLL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LiuGWW22, author = {Tianyi Liu and Weihao Gao and Zhirui Wang and Chong Wang}, editor = {James Cussens and Kun Zhang}, title = {PathFlow: {A} normalizing flow generator that finds transition paths}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1232--1242}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/liu22b.html}, timestamp = {Tue, 29 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/LiuGWW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LoboSPRL22, author = {Elita A. Lobo and Harvineet Singh and Marek Petrik and Cynthia Rudin and Himabindu Lakkaraju}, editor = {James Cussens and Kun Zhang}, title = {Data poisoning attacks on off-policy policy evaluation methods}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1264--1274}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lobo22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LoboSPRL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LuPNN22, author = {Chien Lu and Jaakko Peltonen and Timo Nummenmaa and Jyrki Nummenmaa}, editor = {James Cussens and Kun Zhang}, title = {Nonparametric exponential family graph embeddings for multiple representation learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1275--1285}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/lu22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LuPNN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/LuoBBZWXSESP22, author = {Rachel Luo and Aadyot Bhatnagar and Yu Bai and Shengjia Zhao and Huan Wang and Caiming Xiong and Silvio Savarese and Stefano Ermon and Edward Schmerling and Marco Pavone}, editor = {James Cussens and Kun Zhang}, title = {Local calibration: metrics and recalibration}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1286--1295}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/luo22a.html}, timestamp = {Wed, 14 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/LuoBBZWXSESP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Ma00JL22, author = {Shaocong Ma and Ziyi Chen and Yi Zhou and Kaiyi Ji and Yingbin Liang}, editor = {James Cussens and Kun Zhang}, title = {Data sampling affects the complexity of online {SGD} over dependent data}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1296--1305}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ma22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Ma00JL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MaddoxPW22, author = {Wesley J. Maddox and Andres Potapczynski and Andrew Gordon Wilson}, editor = {James Cussens and Kun Zhang}, title = {Low-precision arithmetic for fast Gaussian processes}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1306--1316}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/maddox22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MaddoxPW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MainiCLS22, author = {Pratyush Maini and Xinyun Chen and Bo Li and Dawn Song}, editor = {James Cussens and Kun Zhang}, title = {Perturbation type categorization for multiple adversarial perturbation robustness}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1317--1327}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/maini22a.html}, timestamp = {Thu, 05 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/MainiCLS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MaitiNS22, author = {Aurghya Maiti and Vineet Nair and Gaurav Sinha}, editor = {James Cussens and Kun Zhang}, title = {A causal bandit approach to learning good atomic interventions in presence of unobserved confounders}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1328--1338}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/maiti22a.html}, timestamp = {Fri, 09 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MaitiNS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MatssonJ22, author = {Anton Matsson and Fredrik D. Johansson}, editor = {James Cussens and Kun Zhang}, title = {Case-based off-policy evaluation using prototype learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1339--1349}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/matsson22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MatssonJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MaystreWSJ22, author = {Lucas Maystre and Tiffany Wu and Roberto Sanchis{-}Ojeda and Tony Jebara}, editor = {James Cussens and Kun Zhang}, title = {Multistate analysis with infinite mixtures of Markov chains}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1350--1359}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/maystre22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MaystreWSJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MenonBV22, author = {Sachit Menon and David M. Blei and Carl Vondrick}, editor = {James Cussens and Kun Zhang}, title = {Forget-me-not! Contrastive critics for mitigating posterior collapse}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1360--1370}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/menon22a.html}, timestamp = {Fri, 26 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MenonBV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MondalAU22, author = {Washim Uddin Mondal and Vaneet Aggarwal and Satish V. Ukkusuri}, editor = {James Cussens and Kun Zhang}, title = {Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1371--1380}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/mondal22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MondalAU22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MonteiroAHM22, author = {Joao Monteiro and Mohamed Osama Ahmed and Hossein Hajimirsadeghi and Greg Mori}, editor = {James Cussens and Kun Zhang}, title = {Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1381--1391}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/monteiro22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MonteiroAHM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MortierHDW22, author = {Thomas Mortier and Eyke H{\"{u}}llermeier and Krzysztof Dembczynski and Willem Waegeman}, editor = {James Cussens and Kun Zhang}, title = {Set-valued prediction in hierarchical classification with constrained representation complexity}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1392--1401}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/mortier22a.html}, timestamp = {Sun, 12 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/MortierHDW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Mukherjee22, author = {Subhojyoti Mukherjee}, editor = {James Cussens and Kun Zhang}, title = {Safety aware changepoint detection for piecewise i.i.d. bandits}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1402--1412}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/mukherjee22a.html}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/Mukherjee22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MukherjeeHN22, author = {Subhojyoti Mukherjee and Josiah P. Hanna and Robert D. Nowak}, editor = {James Cussens and Kun Zhang}, title = {ReVar: Strengthening policy evaluation via reduced variance sampling}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1413--1422}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/mukherjee22b.html}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/MukherjeeHN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/MunkZSBSFPW22, author = {Andreas Munk and Berend Zwartsenberg and Adam {\'{S}}cibior and Atilim G{\"{u}}nes Baydin and Andrew Stewart and Goran Fernlund and Anoush Poursartip and Frank Wood}, editor = {James Cussens and Kun Zhang}, title = {Probabilistic surrogate networks for simulators with unbounded randomness}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1423--1433}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/munk22a.html}, timestamp = {Tue, 25 Apr 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/MunkZSBSFPW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NabarroGGFWA22, author = {Seth Nabarro and Stoil Ganev and Adri{\`{a}} Garriga{-}Alonso and Vincent Fortuin and Mark van der Wilk and Laurence Aitchison}, editor = {James Cussens and Kun Zhang}, title = {Data augmentation in Bayesian neural networks and the cold posterior effect}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1434--1444}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nabarro22a.html}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NabarroGGFWA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NabiMS22, author = {Razieh Nabi and Todd McNutt and Ilya Shpitser}, editor = {James Cussens and Kun Zhang}, title = {Semiparametric causal sufficient dimension reduction of multidimensional treatments}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1445--1455}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nabi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NabiMS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NanmoK22, author = {Hisayoshi Nanmo and Manabu Kuroki}, editor = {James Cussens and Kun Zhang}, title = {Partially adaptive regularized multiple regression analysis for estimating linear causal effects}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1456--1465}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nanmo22a.html}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/NanmoK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NasimZEX22, author = {Md. Nasim and Xinghang Zhang and Anter El{-}Azab and Yexiang Xue}, editor = {James Cussens and Kun Zhang}, title = {Efficient learning of sparse and decomposable PDEs using random projection}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1466--1476}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nasim22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NasimZEX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NelsonBGL0P22, author = {Elliot Nelson and Debarun Bhattacharjya and Tian Gao and Miao Liu and Djallel Bouneffouf and Pascal Poupart}, editor = {James Cussens and Kun Zhang}, title = {Linearizing contextual bandits with latent state dynamics}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1477--1487}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nelson22a.html}, timestamp = {Wed, 07 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NelsonBGL0P22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NemirovskyTXG22, author = {Daniel Nemirovsky and Nicolas Thiebaut and Ye Xu and Abhishek Gupta}, editor = {James Cussens and Kun Zhang}, title = {CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1488--1497}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nemirovsky22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NemirovskyTXG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Nguyen22, author = {Duc Nguyen}, editor = {James Cussens and Kun Zhang}, title = {Efficient and accurate top-k recovery from choice data}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1509--1518}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nguyen22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Nguyen22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NguyenBNYN22, author = {Tuan{-}Duy H. Nguyen and Ngoc Bui and Duy Nguyen and Man{-}Chung Yue and Viet Anh Nguyen}, editor = {James Cussens and Kun Zhang}, title = {Robust Bayesian recourse}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1498--1508}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nguyen22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NguyenBNYN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NiM22, author = {Yang Ni and Bani K. Mallick}, editor = {James Cussens and Kun Zhang}, title = {Ordinal causal discovery}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1530--1540}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ni22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NiM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/NieAUAQ22, author = {Guanyu Nie and Mridul Agarwal and Abhishek Kumar Umrawal and Vaneet Aggarwal and Christopher John Quinn}, editor = {James Cussens and Kun Zhang}, title = {An explore-then-commit algorithm for submodular maximization under full-bandit feedback}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1541--1551}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/nie22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/NieAUAQ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/OsbandWADLR22, author = {Ian Osband and Zheng Wen and Seyed Mohammad Asghari and Vikranth Dwaracherla and Xiuyuan Lu and Benjamin Van Roy}, editor = {James Cussens and Kun Zhang}, title = {Evaluating high-order predictive distributions in deep learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1552--1560}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/osband22a.html}, timestamp = {Thu, 31 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/OsbandWADLR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/OuderaaW22, author = {Tycho F. A. van der Ouderaa and Mark van der Wilk}, editor = {James Cussens and Kun Zhang}, title = {Learning invariant weights in neural networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1992--2001}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ouderaa22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/OuderaaW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PanMFWYR022, author = {Yangchen Pan and Jincheng Mei and Amir{-}massoud Farahmand and Martha White and Hengshuai Yao and Mohsen Rohani and Jun Luo}, editor = {James Cussens and Kun Zhang}, title = {Understanding and mitigating the limitations of prioritized experience replay}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1561--1571}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/pan22a.html}, timestamp = {Sun, 06 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PanMFWYR022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PeddiRG22, author = {Rohith Peddi and Tahrima Rahman and Vibhav Gogate}, editor = {James Cussens and Kun Zhang}, title = {Robust learning of tractable probabilistic models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1572--1581}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/peddi22a.html}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PeddiRG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PerezSBWS22, author = {Iker Perez and Piotr Skalski and Alec Barns{-}Graham and Jason Wong and David Sutton}, editor = {James Cussens and Kun Zhang}, title = {Attribution of predictive uncertainties in classification models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1582--1591}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/perez22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PerezSBWS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Pezeshki0ID22, author = {Bobak Pezeshki and Radu Marinescu and Alexander Ihler and Rina Dechter}, editor = {James Cussens and Kun Zhang}, title = {{AND/OR} branch-and-bound for computational protein design optimizing {K}}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1602--1612}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/pezeshki22a.html}, timestamp = {Mon, 05 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/Pezeshki0ID22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PfisterP22, author = {Niklas Pfister and Jonas Peters}, editor = {James Cussens and Kun Zhang}, title = {Identifiability of sparse causal effects using instrumental variables}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1613--1622}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/pfister22a.html}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PfisterP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PichenyMTD22, author = {Victor Picheny and Henry B. Moss and L{\'{e}}eonard Torossian and Nicolas Durrande}, editor = {James Cussens and Kun Zhang}, title = {Bayesian quantile and expectile optimisation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1623--1633}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/picheny22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PichenyMTD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PolianskiiMKVPK22, author = {Vladislav Polianskii and Giovanni Luca Marchetti and Alexander Kravberg and Anastasiia Varava and Florian T. Pokorny and Danica Kragic}, editor = {James Cussens and Kun Zhang}, title = {Voronoi density estimator for high-dimensional data: Computation, compactification and convergence}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1644--1653}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/polianskii22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PolianskiiMKVPK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/PrietoH22, author = {Daira Pinto Prieto and Ronald de Haan}, editor = {James Cussens and Kun Zhang}, title = {Using hierarchies to efficiently combine evidence with Dempster's rule of combination}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1634--1643}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/pinto-prieto22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/PrietoH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Rahmani22, author = {Mostafa Rahmani}, editor = {James Cussens and Kun Zhang}, title = {Clustering a union of linear subspaces via matrix factorization and innovation search}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1654--1664}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/rahmani22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Rahmani22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/RamaswamyS22, author = {Vaidyanathan Peruvemba Ramaswamy and Stefan Szeider}, editor = {James Cussens and Kun Zhang}, title = {Learning large Bayesian networks with expert constraints}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1592--1601}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/peruvemba-ramaswamy22a.html}, timestamp = {Tue, 21 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/RamaswamyS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/RamponiR22, author = {Giorgia Ramponi and Marcello Restelli}, editor = {James Cussens and Kun Zhang}, title = {Learning in Markov games: Can we exploit a general-sum opponent?}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1665--1675}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ramponi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/RamponiR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ReicheltGOR22, author = {Tim Reichelt and Adam Golinski and Luke Ong and Tom Rainforth}, editor = {James Cussens and Kun Zhang}, title = {Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1676--1685}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/reichelt22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ReicheltGOR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/RenZSD22, author = {Tongzheng Ren and Tianjun Zhang and Csaba Szepesv{\'{a}}ri and Bo Dai}, editor = {James Cussens and Kun Zhang}, title = {A free lunch from the noise: Provable and practical exploration for representation learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1686--1696}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ren22a.html}, timestamp = {Mon, 03 Jul 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/RenZSD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/RogetMK22, author = {Mathieu Roget and Giuseppe Di Molfetta and Hachem Kadri}, editor = {James Cussens and Kun Zhang}, title = {Quantum perceptron revisited: Computational-statistical tradeoffs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1697--1706}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/roget22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/RogetMK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/RolfMGJRJ22, author = {Esther Rolf and Nikolay Malkin and Alexandros Graikos and Ana Jojic and Caleb Robinson and Nebojsa Jojic}, editor = {James Cussens and Kun Zhang}, title = {Resolving label uncertainty with implicit posterior models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1707--1717}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/rolf22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/RolfMGJRJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Samarin0B22, author = {Maxim Samarin and Volker Roth and David Belius}, editor = {James Cussens and Kun Zhang}, title = {Feature learning and random features in standard finite-width convolutional neural networks: An empirical study}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1718--1727}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/samarin22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Samarin0B22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SankararamanLG22, author = {Karthik Abinav Sankararaman and Anand Louis and Navin Goyal}, editor = {James Cussens and Kun Zhang}, title = {Robust identifiability in linear structural equation models of causal inference}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1728--1737}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/sankararaman22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SankararamanLG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SanyalHY22, author = {Amartya Sanyal and Yaxi Hu and Fanny Yang}, editor = {James Cussens and Kun Zhang}, title = {How unfair is private learning?}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1738--1748}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/sanyal22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SanyalHY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SchwobelWJMH22, author = {Pola Schw{\"{o}}bel and Frederik Rahb{\ae}k Warburg and Martin J{\o}rgensen and Kristoffer Hougaard Madsen and S{\o}ren Hauberg}, editor = {James Cussens and Kun Zhang}, title = {Probabilistic spatial transformer networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1749--1759}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/schwobel22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SchwobelWJMH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SelbyRKRP22, author = {Kira A. Selby and Ahmad Rashid and Ivan Kobyzev and Mehdi Rezagholizadeh and Pascal Poupart}, editor = {James Cussens and Kun Zhang}, title = {Learning functions on multiple sets using multi-set transformers}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1760--1770}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/selby22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SelbyRKRP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ShabatMA22, author = {Tsviel Ben Shabat and Reshef Meir and David Azriel}, editor = {James Cussens and Kun Zhang}, title = {Empirical bayes approach to truth discovery problems}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {150--158}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ben-shabat22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ShabatMA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SharmaAGMS22, author = {Vishal Sharma and Daman Arora and Florian Gei{\ss}er and Mausam and Parag Singla}, editor = {James Cussens and Kun Zhang}, title = {SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for {RDDL} Relational MDPs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1771--1781}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/sharma22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SharmaAGMS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ShuCDL22, author = {Yao Shu and Yizhou Chen and Zhongxiang Dai and Bryan Kian Hsiang Low}, editor = {James Cussens and Kun Zhang}, title = {Neural ensemble search via Bayesian sampling}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1803--1812}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/shu22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ShuCDL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ShulginR22, author = {Egor Shulgin and Peter Richt{\'{a}}rik}, editor = {James Cussens and Kun Zhang}, title = {Shifted compression framework: generalizations and improvements}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1813--1823}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/shulgin22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ShulginR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SiciliaAAH22, author = {Anthony Sicilia and Katherine Atwell and Malihe Alikhani and Seong Jae Hwang}, editor = {James Cussens and Kun Zhang}, title = {PAC-Bayesian domain adaptation bounds for multiclass learners}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1824--1834}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/sicilia22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SiciliaAAH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SidheekhDJB022, author = {Sahil Sidheekh and Chris B. Dock and Tushar Jain and Radu V. Balan and Maneesh Kumar Singh}, editor = {James Cussens and Kun Zhang}, title = {VQ-Flows: Vector quantized local normalizing flows}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1835--1845}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/sidheekh22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SidheekhDJB022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SmithCGG22, author = {Jeffrey Smith and Jesse Cranney and Charles Gretton and Damien Gratadour}, editor = {James Cussens and Kun Zhang}, title = {Enhanced adaptive optics control with image to image translation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1846--1856}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/smith22a.html}, timestamp = {Wed, 16 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SmithCGG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SohnWCQGFL22, author = {Sungryull Sohn and Hyunjae Woo and Jongwook Choi and Lyubing Qiang and Izzeddin Gur and Aleksandra Faust and Honglak Lee}, editor = {James Cussens and Kun Zhang}, title = {Fast inference and transfer of compositional task structures for few-shot task generalization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1857--1865}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/sohn22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SohnWCQGFL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SongYDYL22, author = {Kaiyu Song and Kun Yue and Liang Duan and Mingze Yang and Angsheng Li}, editor = {James Cussens and Kun Zhang}, title = {Mutual information based Bayesian graph neural network for few-shot learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1866--1875}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/song22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SongYDYL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SpallittaMMPS22, author = {Giuseppe Spallitta and Gabriele Masina and Paolo Morettin and Andrea Passerini and Roberto Sebastiani}, editor = {James Cussens and Kun Zhang}, title = {SMT-based weighted model integration with structure awareness}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1876--1885}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/spallitta22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SpallittaMMPS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SuH22, author = {Zehao Su and Leonard Henckel}, editor = {James Cussens and Kun Zhang}, title = {A robustness test for estimating total effects with covariate adjustment}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1886--1895}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/su22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SuH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SuehiroT22, author = {Daiki Suehiro and Eiji Takimoto}, editor = {James Cussens and Kun Zhang}, title = {Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1896--1906}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/suehiro22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SuehiroT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/SureshD22, author = {Prasanth Sengadu Suresh and Prashant Doshi}, editor = {James Cussens and Kun Zhang}, title = {Marginal {MAP} estimation for inverse {RL} under occlusion with observer noise}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1907--1916}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/suresh22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/SureshD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/TangBL22, author = {Tongyi Tang and Krishna Balasubramanian and Thomas Chun Man Lee}, editor = {James Cussens and Kun Zhang}, title = {High-probability bounds for robust stochastic Frank-Wolfe algorithm}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1917--1927}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/tang22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/TangBL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/TengCZ022, author = {Zhiyang Teng and Chenhua Chen and Yan Zhang and Yue Zhang}, editor = {James Cussens and Kun Zhang}, title = {Contrastive latent variable models for neural text generation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1928--1938}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/teng22a.html}, timestamp = {Tue, 12 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/TengCZ022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/TifreaSY22, author = {Alexandru Tifrea and Eric Stavarache and Fanny Yang}, editor = {James Cussens and Kun Zhang}, title = {Semi-supervised novelty detection using ensembles with regularized disagreement}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1939--1948}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/tifrea22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/TifreaSY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/TomasiLD22, author = {Federico Tomasi and Mounia Lalmas and Zhenwen Dai}, editor = {James Cussens and Kun Zhang}, title = {Efficient inference for dynamic topic modeling with large vocabularies}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1950--1959}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/tomasi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/TomasiLD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/TramontanoMD22, author = {Daniele Tramontano and Anthea Monod and Mathias Drton}, editor = {James Cussens and Kun Zhang}, title = {Learning linear non-Gaussian polytree models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1960--1969}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/tramontano22a.html}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/TramontanoMD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/TurrisiFRP22, author = {Rosanna Turrisi and R{\'{e}}mi Flamary and Alain Rakotomamonjy and Massimiliano Pontil}, editor = {James Cussens and Kun Zhang}, title = {Multi-source domain adaptation via weighted joint distributions optimal transport}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1970--1980}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/turrisi22a.html}, timestamp = {Wed, 08 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/TurrisiFRP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/UhlemeyerRG22, author = {Svenja Uhlemeyer and Matthias Rottmann and Hanno Gottschalk}, editor = {James Cussens and Kun Zhang}, title = {Towards unsupervised open world semantic segmentation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1981--1991}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/uhlemeyer22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/UhlemeyerRG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/VankadaraFHMGJ22, author = {Leena Chennuru Vankadara and Philipp Michael Faller and Michaela Hardt and Lenon Minorics and Debarghya Ghoshdastidar and Dominik Janzing}, editor = {James Cussens and Kun Zhang}, title = {Causal forecasting: generalization bounds for autoregressive models}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2002--2012}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/vankadara22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/VankadaraFHMGJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/VariciSST22, author = {Burak Varici and Karthikeyan Shanmugam and Prasanna Sattigeri and Ali Tajer}, editor = {James Cussens and Kun Zhang}, title = {Intervention target estimation in the presence of latent variables}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2013--2023}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/varici22a.html}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/VariciSST22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/VoLHL22, author = {Thanh Vinh Vo and Young Lee and Trong Nghia Hoang and Tze{-}Yun Leong}, editor = {James Cussens and Kun Zhang}, title = {Bayesian federated estimation of causal effects from observational data}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2024--2034}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/vo22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/VoLHL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WanDZZZC22, author = {Changlin Wan and Pengtao Dang and Tong Zhao and Yong Zang and Chi Zhang and Sha Cao}, editor = {James Cussens and Kun Zhang}, title = {Bias aware probabilistic Boolean matrix factorization}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2035--2044}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wan22a.html}, timestamp = {Mon, 21 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WanDZZZC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WangGSQ22, author = {Zhe Wang and Jake Grigsby and Arshdeep Sekhon and Yanjun Qi}, editor = {James Cussens and Kun Zhang}, title = {{ST-MAML} : {A} stochastic-task based method for task-heterogeneous meta-learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2066--2074}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wang22c.html}, timestamp = {Fri, 23 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WangGSQ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WangHZLX22, author = {Haohan Wang and Zeyi Huang and Hanlin Zhang and Yong Jae Lee and Eric P. Xing}, editor = {James Cussens and Kun Zhang}, title = {Toward learning human-aligned cross-domain robust models by countering misaligned features}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2075--2084}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wang22d.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WangHZLX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WangWSSS0SG22, author = {Zhenyi Wang and Xiaoyang Wang and Li Shen and Qiuling Suo and Kaiqiang Song and Dong Yu and Yan Shen and Mingchen Gao}, editor = {James Cussens and Kun Zhang}, title = {Meta-learning without data via Wasserstein distributionally-robust model fusion}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2045--2055}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wang22a.html}, timestamp = {Mon, 30 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WangWSSS0SG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WangX022, author = {Xiaosen Wang and Yifeng Xiong and Kun He}, editor = {James Cussens and Kun Zhang}, title = {Detecting textual adversarial examples through randomized substitution and vote}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2056--2065}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wang22b.html}, timestamp = {Sun, 06 Oct 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WangX022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Warren0R22, author = {Houston Warren and Rafael Oliveira and Fabio T. Ramos}, editor = {James Cussens and Kun Zhang}, title = {Generalized Bayesian quadrature with spectral kernels}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2085--2095}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/warren22a.html}, timestamp = {Tue, 18 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Warren0R22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WatsonS22, author = {David S. Watson and Ricardo Silva}, editor = {James Cussens and Kun Zhang}, title = {Causal discovery under a confounder blanket}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2096--2106}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/watson22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WatsonS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WienobstBL22, author = {Marcel Wien{\"{o}}bst and Max Bannach and Maciej Liskiewicz}, editor = {James Cussens and Kun Zhang}, title = {A new constructive criterion for Markov equivalence of MAGs}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2107--2116}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wienobst22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WienobstBL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Wu0YSLWW22, author = {Ruihan Wu and Xin Yang and Yuanshun Yao and Jiankai Sun and Tianyi Liu and Kilian Q. Weinberger and Chong Wang}, editor = {James Cussens and Kun Zhang}, title = {Differentially private multi-party data release for linear regression}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2128--2137}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wu22b.html}, timestamp = {Thu, 22 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/Wu0YSLWW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WuW22, author = {Han Wu and Stefan Wager}, editor = {James Cussens and Kun Zhang}, title = {Partial likelihood Thompson sampling}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2138--2147}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wu22c.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/WuW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/WuWLC22, author = {Shuang Wu and Chi{-}Hua Wang and Yuantong Li and Guang Cheng}, editor = {James Cussens and Kun Zhang}, title = {Residual bootstrap exploration for stochastic linear bandit}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2117--2127}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/wu22a.html}, timestamp = {Fri, 02 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/WuWLC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/XieHL22, author = {Xiumin Xie and Chuanwen Hou and Zhixin Li}, editor = {James Cussens and Kun Zhang}, title = {Fine-Grained matching with multi-perspective similarity modeling for cross-modal retrieval}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2148--2158}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/xie22a.html}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/XieHL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/XiongXZL022, author = {Huaqing Xiong and Tengyu Xu and Lin Zhao and Yingbin Liang and Wei Zhang}, editor = {James Cussens and Kun Zhang}, title = {Deterministic policy gradient: Convergence analysis}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2159--2169}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/xiong22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/XiongXZL022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Yan00022, author = {Hanqi Yan and Lin Gui and Wenjie Li and Yulan He}, editor = {James Cussens and Kun Zhang}, title = {Addressing token uniformity in transformers via singular value transformation}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2181--2191}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yan22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Yan00022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YangHLVLY22, author = {Zhenhuan Yang and Shu Hu and Yunwen Lei and Kush R. Varshney and Siwei Lyu and Yiming Ying}, editor = {James Cussens and Kun Zhang}, title = {Differentially private {SGDA} for minimax problems}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2192--2202}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yang22a.html}, timestamp = {Thu, 01 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YangHLVLY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YangL22, author = {Yingzhen Yang and Ping Li}, editor = {James Cussens and Kun Zhang}, title = {Noisy L0-sparse subspace clustering on dimensionality reduced data}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2235--2245}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yang22e.html}, timestamp = {Thu, 02 Feb 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/YangL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YangSXPZYY22, author = {Huanhuan Yang and Dianxi Shi and Guojun Xie and Yingxuan Peng and Yi Zhang and Yantai Yang and Shaowu Yang}, editor = {James Cussens and Kun Zhang}, title = {Self-supervised representations for multi-view reinforcement learning}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2203--2213}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yang22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YangSXPZYY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YangY22, author = {Shoujian Yang and Lian Yu}, editor = {James Cussens and Kun Zhang}, title = {CoSPA: An improved masked language model with copy mechanism for Chinese spelling correction}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2225--2234}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yang22d.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YangY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Ye022, author = {Mao Ye and Qiang Liu}, editor = {James Cussens and Kun Zhang}, title = {Pareto navigation gradient descent: a first-order algorithm for optimization in pareto set}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2246--2255}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ye22a.html}, timestamp = {Wed, 15 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/Ye022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YeJWCDBMKL22, author = {Mao Ye and Ruichen Jiang and Haoxiang Wang and Dhruv Choudhary and Xiaocong Du and Bhargav Bhushanam and Aryan Mokhtari and Arun Kejariwal and Qiang Liu}, editor = {James Cussens and Kun Zhang}, title = {Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2256--2266}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/ye22b.html}, timestamp = {Wed, 24 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YeJWCDBMKL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Yi22, author = {Mingyang Yi}, editor = {James Cussens and Kun Zhang}, title = {Accelerating training of batch normalization: {A} manifold perspective}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {1128--1137}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yi22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Yi22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YinCW022, author = {Ming Yin and Wenjing Chen and Mengdi Wang and Yu{-}Xiang Wang}, editor = {James Cussens and Kun Zhang}, title = {Offline stochastic shortest path: Learning, evaluation and towards optimality}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2278--2288}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yin22b.html}, timestamp = {Tue, 19 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YinCW022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YonaMEG22, author = {Gal Yona and Shay Moran and Gal Elidan and Amir Globerson}, editor = {James Cussens and Kun Zhang}, title = {Active learning with label comparisons}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2289--2298}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yona22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YonaMEG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YouYZHT22, author = {Heng You and Tianpei Yang and Yan Zheng and Jianye Hao and Matthew E. Taylor}, editor = {James Cussens and Kun Zhang}, title = {Cross-domain adaptive transfer reinforcement learning based on state-action correspondence}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2299--2309}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/you22a.html}, timestamp = {Mon, 03 Jun 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YouYZHT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YuAYJP22, author = {Shujian Yu and Francesco Alesiani and Wenzhe Yin and Robert Jenssen and Jos{\'{e}} C. Pr{\'{\i}}ncipe}, editor = {James Cussens and Kun Zhang}, title = {Principle of relevant information for graph sparsification}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2331--2341}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yu22c.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YuAYJP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/YuBVV22, author = {Sixie Yu and P. Jeffrey Brantingham and Matthew Valasik and Yevgeniy Vorobeychik}, editor = {James Cussens and Kun Zhang}, title = {Learning binary multi-scale games on networks}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2310--2319}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/yu22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/YuBVV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhanWC22, author = {Xueying Zhan and Yaowei Wang and Antoni B. Chan}, editor = {James Cussens and Kun Zhang}, title = {Asymptotic optimality for active learning processes}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2342--2352}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhan22a.html}, timestamp = {Tue, 13 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhanWC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhangLZCCFMHH022, author = {Gaoyuan Zhang and Songtao Lu and Yihua Zhang and Xiangyi Chen and Pin{-}Yu Chen and Quanfu Fan and Lee Martie and Lior Horesh and Mingyi Hong and Sijia Liu}, editor = {James Cussens and Kun Zhang}, title = {Distributed adversarial training to robustify deep neural networks at scale}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2353--2363}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhang22a.html}, timestamp = {Mon, 26 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhangLZCCFMHH022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhangZBP0022, author = {Yikai Zhang and Wenjia Zhang and Sammy Bald and Vamsi Pingali and Chao Chen and Mayank Goswami}, editor = {James Cussens and Kun Zhang}, title = {Stability of {SGD:} Tightness analysis and improved bounds}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2364--2373}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhang22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhangZBP0022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Zhao0JS22, author = {Zeyu Zhao and Ke Xu and Xinghao Jiang and Tanfeng Sun}, editor = {James Cussens and Kun Zhang}, title = {Research on video adversarial attack with long living cycle}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2374--2382}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhao22a.html}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/Zhao0JS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhouHN22, author = {Fangting Zhou and Kejun He and Yang Ni}, editor = {James Cussens and Kun Zhang}, title = {Causal discovery with heterogeneous observational data}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2383--2393}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhou22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhouHN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhouP22, author = {Qiang Zhou and Sinno Jialin Pan}, editor = {James Cussens and Kun Zhang}, title = {Convergence Analysis of Linear Coupling with Inexact Proximal Operator}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2394--2403}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhou22b.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhouP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhouSXN22, author = {Chenghan Zhou and Andrew Spivey and Haifeng Xu and Thanh Hong Nguyen}, editor = {James Cussens and Kun Zhang}, title = {Information design for multiple independent and self-interested defenders: Work less, pay off more}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2404--2413}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhou22c.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhouSXN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/ZhuGGKS22, author = {Yuchen Zhu and Limor Gultchin and Arthur Gretton and Matt J. Kusner and Ricardo Silva}, editor = {James Cussens and Kun Zhang}, title = {Causal inference with treatment measurement error: a nonparametric instrumental variable approach}, booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, pages = {2414--2424}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/zhu22a.html}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/ZhuGGKS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@proceedings{DBLP:conf/uai/2022, editor = {James Cussens and Kun Zhang}, title = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands}, series = {Proceedings of Machine Learning Research}, volume = {180}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v180/}, timestamp = {Sat, 15 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/uai/2022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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