Wei, Xiaohan

12 publications

AAAI 2023 Gradient-Variation Bound for Online Convex Optimization with Constraints Shuang Qiu, Xiaohan Wei, Mladen Kolar

L4DC 2023 Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo Jovanovic

ICLR 2022 Frequency-Aware SGD for Efficient Embedding Learning with Provable Benefits Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan

AISTATS 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo Jovanovic

ICML 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang

ICML 2020 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu, Xiaohan Wei, Zhuoran Yang

NeurIPS 2020 Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang

ICML 2019 On the Statistical Rate of Nonlinear Recovery in Generative Models with Heavy-Tailed Data Xiaohan Wei, Zhuoran Yang, Zhaoran Wang

NeurIPSW 2019 Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rate and Global Landscape Analysis Shuang Qiu, Xiaohan Wei, Zhuoran Yang

NeurIPS 2018 Solving Non-Smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach Xiaohan Wei, Hao Yu, Qing Ling, Michael Neely

NeurIPS 2017 Estimation of the Covariance Structure of Heavy-Tailed Distributions Xiaohan Wei, Stanislav Minsker

NeurIPS 2017 Online Convex Optimization with Stochastic Constraints Hao Yu, Michael Neely, Xiaohan Wei