Jiale Han
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PhD Candidate |
About me
Hi, I'm a fourth-year Ph.D. candidate in the Department of Statistics and Data Science at UCLA. Previously, I received my B.S. in Mathematics from University of Chinese Academy of Sciences in 2022. In the fall of 2021, I also attended Columbia University as an exchange student in the School of Engineering and Applied Science.
My research interests include statistical machine learning, optimal auction design, uncertainty quantification, reinforcement learning, and large language models. I am currently a member of the Lab for Statistics, Computing, Algorithms, Learning, and Economics (SCALE) at UCLA. Under the supervision of Prof. Xiaowu Dai, my research has focused on auction mechanism design and auto-bidding algorithms for online advertising, incorporating uncertainty quantification techniques. I have also explored variance reduction methods through subsampling and experience replay, and examined large language models from a game-theoretic perspective.
Education
University of California, Los Angeles (UCLA)
Ph.D. in Statistics, Sep. 2022 - Present
University of Chinese Academy of Sciences (UCAS)
B.S. in Mathematics and Applied Mathematics, Sep. 2018 - Jun. 2022
Columbia University in the City of New York
Exchange Student, Sep. 2021 - Dec. 2021
Papers
Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce. [paper][code]
Jiale Han and Xiaowu Dai.
Journal of the American Statistical Association (JASA), accepted with minor revisions, 2025.
Incentivizing Truthful Language Models via Peer Elicitation Games. [paper][code]
Baiting Chen, Tong Zhu, Jiale Han, Leixn Li, Gang Li, and Xiaowu Dai.
Advances in Neural Information Processing Systems (NeurIPS), 2025.
Auto-Bidding under Return-on-Spend Constraints with Uncertainty Quantification. [paper][code]
Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, and Xiaowu Dai.
submitted, 2025.
Variance Reduction via Resampling and Experience Replay. [paper][code]
Jiale Han, Xiaowu Dai, and Yuhua Zhu.
submitted, 2025.
Robust Multi-item Auction Design Using Statistical Learning: Overcoming Uncertainty in Bidders’ Types Distributions. [paper][code]
Jiale Han and Xiaowu Dai.
Preprint, 2023.
Awards
Most Promising Statistician Award, UCLA, 2023
Statistics and Data Science Department Summer Mentored Research Fellowship, UCLA, 2023
Overseas Graduate Studies Fellowship, UCAS, 2021
Tang-Lixin Outstanding Student Leader Scholarship, UCAS, 2020
Outstanding Student Leader, UCAS, 2019