Yuantong Li (李沅桐)

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PhD Student
Department of Statistics
University of California, Los Angeles (UCLA)
Office: BH 9410
E-mail: yuantongli [@] ucla [DOT] edu
Address: Boelter Hall, Los Angeles, CA 90095

[Google Scholar] [Github]

About me

I’m a 4th-year Ph.D. student in the Department of Statistics, UCLA. My advisor is Prof. Guang Cheng and Prof. Xiaowu Dai. I was also fortunate to be advised by Prof. Wei Sun in Purdue University. My research interests fall in high-dimensional statistics, trustworthy AI combined with sequential decision making (bandit theory and reinforcement learning), and designing and optimizing multi-agent systems. Besides, I have interests and experience in natural language process field. CV is available upon request.

Some of our current and past research interests are

  • Sequential decision making

  • Mechanism design

  • Trustworthy AI (Fairness and Causal Inference)

  • High-dimensional statistics

  • NLP

News

  • June 12-14th 2023, I'm going to present our Learning in Two-Sided Matching Market work at the International Chinese Statistical Assiciation at Ann Arbor, MI.

  • May 26-27th 2023, I'm going to present our Learning in Two-Sided Matching Market work at the Statistics and Optimization in Data Science Workshop, in Purdue Business School.

  • Apr 5-7th 2023, I'm going to attend the Causal Inference and Machine Learning Workshop at Stanford University to present our paper Double Matching Under Complementary Preferences.

  • Nov 2022, I'm going to attend the Societal Considerations and Applications in Simons Institute for the Theory of Computing and to present our paper Rate-Optimal Contextual Online Matching Bandit.

  • Oct 2022, I will attend the Informs Annual Meeting (Indianapolis, IN) to present our paper Rate-Optimal Contextual Online Matching Bandit!

  • July 2022, I will attend the NACCL 2022 (Seattle, WA) to present our paper!

  • June 2022, our Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning paper got accepted at JASA! Congratulations to all my collaborators!