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. 2202.08788
  4. Cited By
Global Convergence of Sub-gradient Method for Robust Matrix Recovery:
  Small Initialization, Noisy Measurements, and Over-parameterization

Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization

17 February 2022
Jianhao Ma
Salar Fattahi
ArXiv (abs)PDFHTML

Papers citing "Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization"

2 / 2 papers shown
Title
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi Han
Yandong Tang
Xi-Le Zhao
Yao Wang
136
1
0
22 Jan 2024
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
Salar Fattahi
Richard Y. Zhang
142
24
0
07 Jun 2022
1