ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.02969
  4. Cited By
Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix
  Recovery

Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix Recovery

5 February 2021
Jianhao Ma
Salar Fattahi
ArXivPDFHTML

Papers citing "Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix Recovery"

5 / 5 papers shown
Title
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing:
  The Curses of Symmetry and Initialization
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
Nuoya Xiong
Lijun Ding
Simon S. Du
53
12
0
03 Oct 2023
A Validation Approach to Over-parameterized Matrix and Image Recovery
A Validation Approach to Over-parameterized Matrix and Image Recovery
Lijun Ding
Zhen Qin
Liwei Jiang
Jinxin Zhou
Zhihui Zhu
70
13
0
21 Sep 2022
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the
  Optimization Landscape Around the True Solution
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
Salar Fattahi
52
5
0
15 Jul 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
45
26
0
06 Mar 2022
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact
  Recovery
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Lijun Ding
Liwei Jiang
Yudong Chen
Qing Qu
Zhihui Zhu
48
29
0
23 Sep 2021
1