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

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

17 November 2020
Yuetian Luo
Wen Huang
Xudong Li
Anru R. Zhang
ArXivPDFHTML

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

3 / 3 papers shown
Title
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
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
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical
  Optimality and Second-Order Convergence
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
Yuetian Luo
Anru R. Zhang
37
15
0
24 Apr 2021
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis
  Coefficients
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients
Weimin Miao
S. Pan
Defeng Sun
35
44
0
13 Oct 2012
1