![]() |
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)
A Bayesian Bootstrap for Mixture Models. [pdf]
Fuheng Cui, Stephen G. Walker.
Bayesian Analysis (Accepted)
Martingale Posteriors from Score Functions. [pdf]
Fuheng Cui, Stephen G. Walker.
(Submitted) 2025
Martingale Posterior Distributions for Log-concave Density Functions. [pdf]
Fuheng Cui, Stephen G. Walker.
(Submitted) 2024
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures. [pdf]
Tongzheng Ren*, Fuheng Cui*, Sujay Sanghavi, Nhat Ho.
(Submitted) 2022
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).
In my free time, I enjoy watching movies, musicals, and traveling. So far, I’ve explored 25 countries across Asia, Europe, North America, Africa and South America (wishing for world peace). My favorite band is Coldplay, and my favorite musical is Into the Woods.