Zonghao Chen

21 papers A* 6A 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology.
AAAI
Zonghao Chen, Yuncheng Jiang, Gang Li
2025 J jnl
(De)-regularized Maximum Mean Discrepancy Gradient Flow.
J. Mach. Learn. Res.
Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur
2025 J jnl
BayesSum: Bayesian Quadrature in Discrete Spaces.
CoRR
Sophia Seulkee Kang, François-Xavier Briol, Toni Karvonen, Zonghao Chen
2025 A* conf
Nested Expectations with Kernel Quadrature.
ICML
Zonghao Chen, Masha Naslidnyk, François-Xavier Briol
2025 J jnl
Nested Expectations with Kernel Quadrature.
CoRR
Zonghao Chen, Masha Naslidnyk, François-Xavier Briol
2025 J jnl
Nonparametric Instrumental Variable Regression with Observed Covariates.
CoRR
Zikai Shen, Zonghao Chen, Dimitri Meunier, Ingo Steinwart, Arthur Gretton, Zhu Li
2025 J jnl
Stationary MMD Points for Cubature.
CoRR
Zonghao Chen, Toni Karvonen, Heishiro Kanagawa, François-Xavier Briol, Chris J. Oates
2025 J jnl
Towards a Unified Analysis of Neural Networks in Nonparametric Instrumental Variable Regression: Optimization and Generalization.
CoRR
Zonghao Chen, Atsushi Nitanda, Arthur Gretton, Taiji Suzuki
2024 J jnl
(De)-regularized Maximum Mean Discrepancy Gradient Flow.
CoRR
Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur
2024 A conf
Conditional Bayesian Quadrature.
UAI
Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol
2024 J jnl
Conditional Bayesian Quadrature.
CoRR
Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol
2024 A* conf
Conformal Counterfactual Inference under Hidden Confounding.
KDD
Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu
2024 J jnl
Conformal Counterfactual Inference under Hidden Confounding.
CoRR
Zonghao Chen, Ruocheng Guo, Jean-François Ton, Yang Liu
2023 J jnl
Tractable Function-Space Variational Inference in Bayesian Neural Networks.
CoRR
Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal
2022 J jnl
PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image.
CoRR
Weichao Shen, Yuan Dong, Zonghao Chen, Zhengyi Zhao, Yang Gao, Zhu Liu
2022 A* conf
Probabilistic Bilevel Coreset Selection.
ICML
Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang
2022 A* conf
Tractable Function-Space Variational Inference in Bayesian Neural Networks.
NeurIPS
Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal
2021 J jnl
Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss.
IEEE Signal Process. Lett.
Kunhong Li, Zhiheng Fu, Hanyun Wang, Zonghao Chen, Yulan Guo
2021 J jnl
Distortion-Aware Monocular Depth Estimation for Omnidirectional Images.
IEEE Signal Process. Lett.
Hong-Xiang Chen, Kunhong Li, Zhiheng Fu, Mengyi Liu, Zonghao Chen, Yulan Guo
2021 A* conf
Efficient Neural Network Training via Forward and Backward Propagation Sparsification.
NeurIPS
Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang
2021 J jnl
Efficient Neural Network Training via Forward and Backward Propagation Sparsification.
CoRR
Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang