44 citations · 46 across the 3 of their papers we have counts for
3 papers
math.OC2023
A Preconditioned Riemannian Gradient Descent Algorithm for Low-Rank Matrix Recovery
Fengmiao Bian, Jian-Feng Cai, Rui Zhang
The low-rank matrix recovery problem often arises in various fields, including signal processing, machine learning, and imaging science. The Riemannian gradient descent (RGD) algor…
math.NA2020★ 2 cited
Rank one tensor completion problem
Mohit Singh, Alexander Shapiro, Rui Zhang
In this paper, we consider the rank-one tensor completion problem. We address the question of existence and uniqueness of the rank-one solution. In particular we show that the glob…
math.FA2020★ 44 cited
Optimal l-one Rank One Matrix Decompositions
Radu Balan, Kasso A. Okoudjou, Michael Rawson +2
In this paper we consider the decomposition of positive semidefinite matrices as a sum of rank one matrices. We introduce and investigate the properties of various measures of opti…