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Publication search results
found 217 matches
- 2018
- Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III:
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. AISTATS 2018: 288-297 - Heng Guo, Kaan Kara, Ce Zhang:
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond. AISTATS 2018: 178-187 - Gabriele Abbati, Alessandra Tosi, Michael A. Osborne, Seth R. Flaxman:
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling. AISTATS 2018: 226-234 - Brahim Khalil Abid, Robert M. Gower:
Stochastic algorithms for entropy-regularized optimal transport problems. AISTATS 2018: 1505-1512 - Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller:
Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS 2018: 10-19 - Jaan Altosaar, Rajesh Ranganath, David M. Blei:
Proximity Variational Inference. AISTATS 2018: 1961-1969 - David Alvarez-Melis, Tommi S. Jaakkola, Stefanie Jegelka:
Structured Optimal Transport. AISTATS 2018: 1771-1780 - Luca Ambrogioni, Eric Maris:
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis. AISTATS 2018: 217-225 - Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo:
Bayesian Structure Learning for Dynamic Brain Connectivity. AISTATS 2018: 1436-1446 - Michael Arbel, Arthur Gretton:
Kernel Conditional Exponential Family. AISTATS 2018: 1337-1346 - Pranjal Awasthi, Bahman Kalantari, Yikai Zhang:
Robust Vertex Enumeration for Convex Hulls in High Dimensions. AISTATS 2018: 1387-1396 - Olivier Bachem, Mario Lucic, Silvio Lattanzi:
One-shot Coresets: The Case of k-Clustering. AISTATS 2018: 784-792 - Vivek Kumar Bagaria, Govinda M. Kamath, Vasilis Ntranos, Martin J. Zhang, David Tse:
Medoids in Almost-Linear Time via Multi-Armed Bandits. AISTATS 2018: 500-509 - Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. AISTATS 2018: 1751-1759 - Sergey Bartunov, Dmitry P. Vetrov:
Few-shot Generative Modelling with Generative Matching Networks. AISTATS 2018: 670-678 - Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi:
Personalized and Private Peer-to-Peer Machine Learning. AISTATS 2018: 473-481 - Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi:
Factorized Recurrent Neural Architectures for Longer Range Dependence. AISTATS 2018: 1522-1530 - Alexis Bellot, Mihaela van der Schaar:
Tree-based Bayesian Mixture Model for Competing Risks. AISTATS 2018: 910-918 - Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing:
Group invariance principles for causal generative models. AISTATS 2018: 557-565 - Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Cause-Effect Inference by Comparing Regression Errors. AISTATS 2018: 900-909 - Mathieu Blondel, Vivien Seguy, Antoine Rolet:
Smooth and Sparse Optimal Transport. AISTATS 2018: 880-889 - Ilija Bogunovic, Junyao Zhao, Volkan Cevher:
Robust Maximization of Non-Submodular Objectives. AISTATS 2018: 890-899 - Yang Cao, Liyan Xie, Yao Xie, Huan Xu:
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes. AISTATS 2018: 519-528 - Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal:
Dropout as a Low-Rank Regularizer for Matrix Factorization. AISTATS 2018: 435-444 - Jerry Chee, Panos Toulis:
Convergence diagnostics for stochastic gradient descent with constant learning rate. AISTATS 2018: 1476-1485 - Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue:
Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS 2018: 1970-1978 - Sheng Chen, Arindam Banerjee:
Sparse Linear Isotonic Models. AISTATS 2018: 1270-1279 - Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy:
Crowdclustering with Partition Labels. AISTATS 2018: 1127-1136 - Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin:
Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS 2018: 661-669 - Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization. AISTATS 2018: 1896-1905
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