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. 1905.10598
  4. Cited By
Best Pair Formulation & Accelerated Scheme for Non-convex Principal
  Component Pursuit
v1v2 (latest)

Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit

25 May 2019
Aritra Dutta
Filip Hanzely
Jingwei Liang
Peter Richtárik
ArXiv (abs)PDFHTML

Papers citing "Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit"

2 / 2 papers shown
Title
Optimization for Supervised Machine Learning: Randomized Algorithms for
  Data and Parameters
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
87
0
0
26 Aug 2020
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal
  Gradient Continuation Method
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
Minhui Huang
Shiqian Ma
Lifeng Lai
65
26
0
18 Aug 2020
1