3 papers
cs.LG2026
Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions
Yuepeng Yang, Yuxin Chen, Yuejie Chi
Distributionally robust Markov decision processes provide a principled framework for sequential decision making under model uncertainty. We study how many samples are necessary and…
stat.ML2026
Sample-efficient inductive matrix completion with noise and inexact side-information
Yuepeng Yang, Cong Ma
Inductive matrix completion (IMC) is a variant of low-rank matrix completion that incorporates row and column side-information. In principle, it can reduce the effective dimension…
stat.ML2025
Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
Yuepeng Yang, Cong Ma
Integrative data analysis often requires disentangling joint and individual variations across multiple datasets, a challenge commonly addressed by the Joint and Individual Variatio…