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ORCIDZonghao Chen
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2020 – today
- 2025
[c6]Zonghao Chen, Masha Naslidnyk, François-Xavier Briol:
Nested Expectations with Kernel Quadrature. ICML 2025- [i11]Zonghao Chen, Masha Naslidnyk, François-Xavier Briol:
Nested Expectations with Kernel Quadrature. CoRR abs/2502.18284 (2025) - [i10]Zonghao Chen, Toni Karvonen, Heishiro Kanagawa, François-Xavier Briol, Chris J. Oates:
Stationary MMD Points for Cubature. CoRR abs/2505.20754 (2025) - [i9]Zonghao Chen, Atsushi Nitanda, Arthur Gretton, Taiji Suzuki:
Towards a Unified Analysis of Neural Networks in Nonparametric Instrumental Variable Regression: Optimization and Generalization. CoRR abs/2511.14710 (2025) - [i8]Zikai Shen, Zonghao Chen, Dimitri Meunier, Ingo Steinwart, Arthur Gretton, Zhu Li:
Nonparametric Instrumental Variable Regression with Observed Covariates. CoRR abs/2511.19404 (2025) - [i7]Sophia Seulkee Kang, François-Xavier Briol, Toni Karvonen, Zonghao Chen:
BayesSum: Bayesian Quadrature in Discrete Spaces. CoRR abs/2512.16105 (2025) - 2024
- [c5]Zonghao Chen
, Ruocheng Guo, Jean-Francois Ton, Yang Liu:
Conformal Counterfactual Inference under Hidden Confounding. KDD 2024: 397-408 - [c4]Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol:
Conditional Bayesian Quadrature. UAI 2024: 648-684 - [i6]Zonghao Chen, Ruocheng Guo, Jean-François Ton, Yang Liu:
Conformal Counterfactual Inference under Hidden Confounding. CoRR abs/2405.12387 (2024) - [i5]Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol:
Conditional Bayesian Quadrature. CoRR abs/2406.16530 (2024) - [i4]Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur:
(De)-regularized Maximum Mean Discrepancy Gradient Flow. CoRR abs/2409.14980 (2024) - 2023
- [i3]Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal:
Tractable Function-Space Variational Inference in Bayesian Neural Networks. CoRR abs/2312.17199 (2023) - 2022
- [c3]Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang:
Probabilistic Bilevel Coreset Selection. ICML 2022: 27287-27302 - [c2]Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal:
Tractable Function-Space Variational Inference in Bayesian Neural Networks. NeurIPS 2022 - [i2]Weichao Shen, Yuan Dong, Zonghao Chen, Zhengyi Zhao, Yang Gao, Zhu Liu:
PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image. CoRR abs/2212.12156 (2022) - 2021
- [j2]Hong-Xiang Chen, Kunhong Li, Zhiheng Fu, Mengyi Liu, Zonghao Chen, Yulan Guo:
Distortion-Aware Monocular Depth Estimation for Omnidirectional Images. IEEE Signal Process. Lett. 28: 334-338 (2021) - [j1]Kunhong Li, Zhiheng Fu, Hanyun Wang, Zonghao Chen, Yulan Guo:
Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss. IEEE Signal Process. Lett. 28: 638-642 (2021) - [c1]Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. NeurIPS 2021: 15216-15229 - [i1]Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. CoRR abs/2111.05685 (2021)
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