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. 1809.10477
  4. Cited By
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems

Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems

27 September 2018
Dan Garber
Atara Kaplan
ArXivPDFHTML

Papers citing "Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems"

10 / 10 papers shown
Title
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
42
0
0
23 Jun 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
45
5
0
08 Feb 2022
Frank-Wolfe Splitting via Augmented Lagrangian Method
Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel
Fabian Pedregosa
Simon Lacoste-Julien
37
30
0
09 Apr 2018
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Zeyuan Allen-Zhu
Elad Hazan
Wei Hu
Yuanzhi Li
86
51
0
07 Aug 2017
Frank-Wolfe Algorithms for Saddle Point Problems
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel
Tony Jebara
Simon Lacoste-Julien
56
71
0
25 Oct 2016
Faster Projection-free Convex Optimization over the Spectrahedron
Faster Projection-free Convex Optimization over the Spectrahedron
Dan Garber
39
31
0
20 May 2016
Variance-Reduced and Projection-Free Stochastic Optimization
Variance-Reduced and Projection-Free Stochastic Optimization
Elad Hazan
Haipeng Luo
43
165
0
05 Feb 2016
Competing with the Empirical Risk Minimizer in a Single Pass
Competing with the Empirical Risk Minimizer in a Single Pass
Roy Frostig
Rong Ge
Sham Kakade
Aaron Sidford
56
100
0
20 Dec 2014
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Cun Mu
Yuqian Zhang
John N. Wright
D. Goldfarb
47
75
0
29 Mar 2014
Estimation of Simultaneously Sparse and Low Rank Matrices
Estimation of Simultaneously Sparse and Low Rank Matrices
E. Richard
Pierre-André Savalle
Nicolas Vayatis
68
203
0
27 Jun 2012
1