378 citations · 1.8k across the 48 of their papers we have counts for
5 papers · 1 filter
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai, Gen Li, H. Vincent Poor +1
We study a noisy tensor completion problem of broad practical interest, namely, the reconstruction of a low-rank tensor from highly incomplete and randomly corrupted observations o…
Subspace Estimation from Unbalanced and Incomplete Data Matrices: Statistical Guarantees
Changxiao Cai, Gen Li, Yuejie Chi +2
This paper is concerned with estimating the column space of an unknown low-rank matrix , given noisy and partial observatio…
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
Boyue Li, Shicong Cen, Yuxin Chen +1
There is growing interest in large-scale machine learning and optimization over decentralized networks, e.g. in the context of multi-agent learning and federated learning. Due to t…
Inference and Uncertainty Quantification for Noisy Matrix Completion
Yuxin Chen, Jianqing Fan, Cong Ma +1
Noisy matrix completion aims at estimating a low-rank matrix given only partial and corrupted entries. Despite substantial progress in designing efficient estimation algorithms, it…
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen, Yuejie Chi, Jianqing Fan +2
This paper studies noisy low-rank matrix completion: given partial and noisy entries of a large low-rank matrix, the goal is to estimate the underlying matrix faithfully and effici…