PhD student, |
I am a Statistics PhD student in University of Texas at Austin. I am fortunate to be advised by Prof. Stephen G. Walker. My current research mainly focuses on Bayesian statistics, especially Bayesian nonparametric methods and uncertainty quantification, and generative models. I am also interested in gradient-based methods, Monte Carlo methods, optimization and statistical machine learning.
Before moving to Austin, I received an M.S. degree in Statistics from University of Chicago in 2020, and a B.S. degree in Mathematics and Applied Mathematics from Fudan University in 2018.
(* Equal contribution)
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures. [pdf]
Tongzheng Ren*, Fuheng Cui*, Sujay Sanghavi, Nhat Ho.
(Submitted)
Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent. [pdf]
Tongzheng Ren*, Fuheng Cui*, Alexia Atsidakou*, Sujay Sanghavi, Nhat Ho.
International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
Westlake University (2020 Research Assistant). Supervisor: Dr. Zipeng Wang.
Stockholm University (2016 Exchange student).