Tesi Xiao

Ph.D. Candidate Department of Statistics University of California, Davis Mathematical Sciences Building, 1212 One Shields Avenue Davis, CA 95616-8633 Email: texiao [@] ucdavis [DOT] edu TA: Winter 2021, STA 142A Statistical Learning Office Hours: Thursday 6:00 -7:30 PM

About me

Currently, I am a third-year Ph.D. student in Statistics at UC Davis, advised by Prof. Krishna Balasubramanian. I received my B.S. degree in Statistics from Zhejiang University.

Recent News

• 05/15/2020: I passed the Ph.D. qualifying exam and was advanced to candidancy.

Research

My research interests lie at the interface of computational and algorithmic inferential problems arising in statistical machine learning. Precisely, I am working on the following topics:

• Reinforcement Learning: Non-asymptotic analysis for off-policy value-based methods for single/multi-agent RL.

• Stochastic Optimization: Computational complexities and statistical inferential problems for first/zeroth-order algorithms.

I am also interested in theory and computation for tensors, unsupervised learning in general.

Find out more.