Publications
- Estimation and Inference in Distributional Reinforcement Learning, with Liangyu Zhang, Yang Peng, and Zhihua Zhang
- Stochastic Approximation MCMC, Online Inference, and Applications in Optimization of Queueing Systems, with Xiang Li, Xinyun Chen, and Zhihua Zhang
- A statistical analysis of Polyak-Ruppert averaged Q-learning, with Xiang Li, Wenhao Yang, Zhihua Zhang, and Michel I. Jordan
- Online statistical inference for nonlinear stochastic approximation with Markovian data, with Xiang Li, and Zhihua Zhang
- Asymptotic behaviors and phase transitions in projected stochastic approximation: a jump diffusion approach, with Yuze Han, Xiang Li, and Zhihua Zhang
- Asymptotic behaviors of projected stochastic approximation: a jump diffusion perspective, with Yuze Han, Xiang Li, and Zhihua Zhang
- Neurips (2022), Spotlight (top 2%)
- [Paper]
- Statistical estimation and inference via local sgd, with Xiang Li, Xiangyu Chang, and Zhihua Zhang
- Intervention generative adversarial networks, with Liangyu Zhang, Cheng Zhang, and Zhihua Zhang
- Lipschitz generative adversarial nets, with Zhiming Zhou, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, and Zhihua Zhang
