Wenhao Yang

Wenhao Yang Email: yangwh (at) stanford (dot) edu Google Scholar Good Luck on Paris Olympics, Zhendong Fan!

About Me

I'm a postdoctoral researcher in Department of Management Science and Engineering (MS&E) at Stanford University, hosted by Prof. Jose Blanchet.

Prior to that, I recieved my Ph.D. at Peking Univerisity in 2023, where I was advised by Prof. Zhihua Zhang. Previously, I received my Bachelor's degree in Statistics from School of Mathematical Sciences, Peking University in 2018.

My research interests lie in intersection areas among probability, statistics and machine learning.

Recent Publications

• Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
  Chuhan Xie, Wenhao Yang, Zhihua Zhang
  International Conference on Machine Learning (ICML) 2023

• Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
  Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre MENARD, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo
  International Conference on Machine Learning (ICML) 2023

• Robust Markov Decision Processes without Model Estimation
  Wenhao Yang, Han Wang, Tadashi Kozuno, Scott M. Jordan, Zhihua Zhang