I am a postdoc at Yale Statistics and Data Science, advised by Yuejie Chi and Yuxin Chen. Previously, I completed my PhD in Statistics at the University of Chicago with Cong Ma. My work studies statistical and machine learning theory, with recent projects in matrix estimation, ranking, reinforcement learning, and multi-matrix data analysis.

News

  • Jul 2025 I started as a postdoc at Yale University.
  • Jun 2025 I graduated with a PhD in Statistics from the University of Chicago.

Selected Papers

All papers
Preprint

Sample efficient inductive matrix completion with noise and inexact side information.

Yuepeng Yang, Cong Ma

arXiv, 2026

arXiv
Preprint

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices.

Yuepeng Yang, Cong Ma

arXiv, 2025

arXiv
COLT

Top-K ranking with monotone adversary.

Yuepeng Yang, Antares Chen, Lorenzo Orecchia, Cong Ma

Conference on Learning Theory, 2024

arXiv Proceedings Slides
ICLR

O(T-1) convergence of optimistic-follow-the-regularized-leader in two-player zero-sum Markov games.

Yuepeng Yang, Cong Ma

International Conference on Learning Representations, 2023

arXiv OpenReview Slides