Chen, Zhehui

7 publications

NeurIPS 2024 Solving Sparse \& High-Dimensional-Output Regression via Compression Renyuan Li, Zhehui Chen, Guanyi Wang

NeurIPS 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

AISTATS 2021 Learning to Defend by Learning to Attack Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao

ICLRW 2019 Learning to Defense by Learning to Attack Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao

ICLR 2019 On Computation and Generalization of Generative Adversarial Networks Under Spectrum Control Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao

AISTATS 2019 On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition Zhehui Chen, Xingguo Li, Lin Yang, Jarvis Haupt, Tuo Zhao

ICML 2017 Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao