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Noisy Low-rank Matrix Optimization: Geometry of Local Minima and
  Convergence Rate

Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate

8 March 2022
Ziye Ma
Somayeh Sojoudi
ArXivPDFHTML

Papers citing "Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate"

3 / 3 papers shown
Title
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion
  of Spurious Solutions to Strict Saddle Points
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
Ziye Ma
Igor Molybog
Javad Lavaei
Somayeh Sojoudi
13
3
0
15 Feb 2023
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape
  Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
Yuetian Luo
Nicolas García Trillos
17
6
0
29 Sep 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,198
0
16 Aug 2016
1