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Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime

Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime

21 April 2021
Richard Y. Zhang
ArXivPDFHTML

Papers citing "Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime"

16 / 16 papers shown
Title
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
G. Zhang
S. Fattahi
Richard Y. Zhang
45
36
0
13 Apr 2025
Guarantees of a Preconditioned Subgradient Algorithm for
  Overparameterized Asymmetric Low-rank Matrix Recovery
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
Paris Giampouras
HanQin Cai
René Vidal
35
3
0
22 Oct 2024
Low solution rank of the matrix LASSO under RIP with consequences for
  rank-constrained algorithms
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
Andrew D. McRae
45
1
0
19 Apr 2024
Algorithmic Regularization in Tensor Optimization: Towards a Lifted
  Approach in Matrix Sensing
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Ziye Ma
Javad Lavaei
Somayeh Sojoudi
45
2
0
24 Oct 2023
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
23
3
0
15 Feb 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix
  Sensing
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
Xingyu Xu
Yandi Shen
Yuejie Chi
Cong Ma
40
36
0
02 Feb 2023
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis
  Function Decomposition
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma
Li-Zhen Guo
S. Fattahi
38
4
0
01 Oct 2022
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix
  Completion
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
G. Zhang
Hong-Ming Chiu
Richard Y. Zhang
18
10
0
24 Aug 2022
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix
  Sensing
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing
Baturalp Yalcin
Ziye Ma
Javad Lavaei
Somayeh Sojoudi
27
7
0
15 Aug 2022
Improved Global Guarantees for the Nonconvex Burer--Monteiro
  Factorization via Rank Overparameterization
Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
Richard Y. Zhang
30
24
0
05 Jul 2022
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
G. Zhang
S. Fattahi
Richard Y. Zhang
47
23
0
07 Jun 2022
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and
  Convergence Rate
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
Ziye Ma
Somayeh Sojoudi
33
6
0
08 Mar 2022
Algorithmic Regularization in Model-free Overparametrized Asymmetric
  Matrix Factorization
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization
Liwei Jiang
Yudong Chen
Lijun Ding
37
26
0
06 Mar 2022
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery
  Problems with Corrupted Measurements
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements
Ziye Ma
Yingjie Bi
Javad Lavaei
Somayeh Sojoudi
21
14
0
18 May 2021
Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix
  Recovery
Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix Recovery
Jianhao Ma
S. Fattahi
13
12
0
05 Feb 2021
Recent Theoretical Advances in Non-Convex Optimization
Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova
Pavel Dvurechensky
Alexander Gasnikov
Eduard A. Gorbunov
Sergey Guminov
Dmitry Kamzolov
Innokentiy Shibaev
31
76
0
11 Dec 2020
1