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. 1806.03763
  4. Cited By
Smoothed analysis of the low-rank approach for smooth semidefinite
  programs
v1v2 (latest)

Smoothed analysis of the low-rank approach for smooth semidefinite programs

11 June 2018
Thomas Pumir
Samy Jelassi
Nicolas Boumal
ArXiv (abs)PDFHTML

Papers citing "Smoothed analysis of the low-rank approach for smooth semidefinite programs"

6 / 6 papers shown
Title
Lecture notes on non-convex algorithms for low-rank matrix recovery
Lecture notes on non-convex algorithms for low-rank matrix recovery
Irène Waldspurger
58
1
0
21 May 2021
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
Riemannian Langevin Algorithm for Solving Semidefinite Programs
Riemannian Langevin Algorithm for Solving Semidefinite Programs
Mufan Li
Murat A. Erdogdu
118
29
0
21 Oct 2020
Polynomial time guarantees for the Burer-Monteiro method
Polynomial time guarantees for the Burer-Monteiro method
Diego Cifuentes
Ankur Moitra
162
37
0
03 Dec 2019
Efficiently escaping saddle points on manifolds
Efficiently escaping saddle points on manifolds
Christopher Criscitiello
Nicolas Boumal
90
63
0
10 Jun 2019
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method
  for Solving Large SDPs
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs
Murat A. Erdogdu
Asuman Ozdaglar
P. Parrilo
N. D. Vanli
75
33
0
12 Jul 2018
1