Zhihan Xiong

I am a third-year PhD student in the Paul G. Allen School of Computer Science & Engineering at University of Washington, advised by Prof. Maryam Fazel.

My research interest lies in a convex combination of statistics, optimization and sequential decision making.

Prior to UW, I received my Master's Degree in Statistics from Stanford University in 2020 and Bachelor's Degree in Mathematics and Engineering Physics from University of Illinois at Urbana-Champaign in 2018, where I was fortunate to be advised by Prof. Pierre Moulin.

Email  /  CV  /  LinkedIn

Publications/ Preprints

(* indicates equal contributions)

Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement [arXiv]
Haozhe Jiang*, Qiwen Cui*, Zhihan Xiong, Maryam Fazel, Simon S. Du
International Conference on Learning Representations (ICLR), 2023

Learning in Congestion Games with Bandit Feedback [arXiv] [paper]
Qiwen Cui*, Zhihan Xiong*, Maryam Fazel, Simon S. Du
Advances in Neural Information Processing Systems (NeurIPS), 2022

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes [arXiv] [paper]
Zhihan Xiong*, Ruoqi Shen*, Qiwen Cui*, Maryam Fazel, Simon S. Du
Advances in Neural Information Processing Systems (NeurIPS), 2022

Fourier Learning with Cyclical Data [paper]
Yingxiang Yang*, Zhihan Xiong*, Tianyi Liu*, Taiqing Wang, Chong Wang
International Conference on Machine Learning (ICML), 2022

Selective Sampling for Online Best-arm Identification [arXiv] [paper]
Romain Camilleri* , Zhihan Xiong*, Maryam Fazel, Lalit Jain, Kevin Jamieson
Advances in Neural Information Processing Systems (NeurIPS), 2021

Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning [arXiv] [paper]
Tian Tan* Zhihan Xiong*, Vikranth R. Dwaracherla
Association for the Advancement of Artificial Intelligence (AAAI, Oral), 2020