Yuepeng Yang | University of Chicago

About Me

I’m a fifth-year Stat PhD student at the University of Chicago. I’m happy to be advised by Professor Cong Ma. Before coming to UChicago, I did my Bachelor’s and Master’s degrees in Mathematics at Carnegie Mellon University from 2016 to 2020. My Master thesis was supervised by Professor Dejan Slepcev.

I’m interested in all sorts of things related to stat theory/ML! My current research focuces on low-rank matrix estimation and ranking.

Publication and Preprints

Random pairing MLE for estimation of item parameters in Rasch model, with Cong Ma [arXiv]
Top-\(K\) ranking with monotone adversary, with Antares Chen, Lorenzo Orecchia, and Cong Ma [arXiv]. COLT 2024.
\(O(T^{−1})\) Convergence of optimistic-follow-the-regularized-leader in two-player zero-sum markov games, with Cong Ma [arXiv, ICLR]. ICLR 2023.
Optimal tuning-free convex relaxation for noisy matrix completion, with Cong Ma [arXiv, IEEE]. IEEE Transactions on Information Theory 2023.

My heart is in the work.