Yuantong Li

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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

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

  • 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!

Education

  • Ph.D. in Statistics, UCLA, 2022 - Present.

Publications/Manuscripts

Work Experiences

  • Applied Scientist Intern, Amazon Web Service (AWS) AI Lab, June 2022 - Sep 2022 (Intern).

  • Applied Scientist Intern, Amazon Web Service (AWS) AI Lab, May 2021 - Aug 2021 (Intern).

Professional Services

  • Conference Reviewer: AISTATS, Neurips

  • Journal Reviewer: IEEE TNNLS