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Implicit regularization and solution uniqueness in over-parameterized
  matrix sensing
v1v2 (latest)

Implicit regularization and solution uniqueness in over-parameterized matrix sensing

6 June 2018
Kelly Geyer
Anastasios Kyrillidis
A. Kalev
ArXiv (abs)PDFHTML

Papers citing "Implicit regularization and solution uniqueness in over-parameterized matrix sensing"

4 / 4 papers shown
Title
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
T. Roddenberry
Santiago Segarra
Anastasios Kyrillidis
45
0
0
17 Dec 2020
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit
  Bias towards Low Rank
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
H. Chou
Carsten Gieshoff
J. Maly
Holger Rauhut
78
42
0
27 Nov 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin
Nadav Cohen
81
156
0
13 May 2020
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
73
427
0
25 Sep 2018
1