15 citations · 29 across the 13 of their papers we have counts for
4 papers · 1 filter
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion
Jian-Feng Cai, Jae Kyu Choi, Jingyang Li +1
In recent years, patch-based image restoration approaches have demonstrated superior performance compared to conventional variational methods. This paper delves into the mathematic…
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Kuangyu Ding, Jingyang Li, Kim-Chuan Toh
Stochastic gradient methods for minimizing nonconvex composite objective functions typically rely on the Lipschitz smoothness of the differentiable part, but this assumption fails…
Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret
Jingyang Li, Jian-Feng Cai, Yang Chen +1
Large tensor learning algorithms are typically computationally expensive and require storing a vast amount of data. In this paper, we propose a unified online Riemannian gradient d…
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
Yinan Shen, Jingyang Li, Jian-Feng Cai +1
High-dimensional linear regression under heavy-tailed noise or outlier corruption is challenging, both computationally and statistically. Convex approaches have been proven statist…