228 citations · 726 across the 22 of their papers we have counts for
4 papers · 1 filter
Optimal tuning-free convex relaxation for noisy matrix completion
Yuepeng Yang, Cong Ma
This paper is concerned with noisy matrix completion--the problem of recovering a low-rank matrix from partial and noisy entries. Under uniform sampling and incoherence assumptions…
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
Harry Dong, Tian Tong, Cong Ma +1
An increasing number of data science and machine learning problems rely on computation with tensors, which better capture the multi-way relationships and interactions of data than…
Pessimism for Offline Linear Contextual Bandits using Confidence Sets
Gene Li, Cong Ma, Nathan Srebro
We present a family of pessimistic learning rules for offline learning of linear contextual bandits, relying on confidence sets with respect to different $\ell…
Optimally tackling covariate shift in RKHS-based nonparametric regression
Cong Ma, Reese Pathak, Martin J. Wainwright
We study the covariate shift problem in the context of nonparametric regression over a reproducing kernel Hilbert space (RKHS). We focus on two natural families of covariate shift…