Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence

17 November 2020

Papers citing "Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence"

4 / 4 papers shown

Title
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 10 19 0 17 Jun 2022
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization Yuetian Luo Xudong Li Anru R. Zhang 15 9 0 03 Aug 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence Yuetian Luo Anru R. Zhang 40 18 0 24 Apr 2021
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients Weimin Miao S. Pan Defeng Sun 37 44 0 13 Oct 2012