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On the Efficient Implementation of the Matrix Exponentiated Gradient
  Algorithm for Low-Rank Matrix Optimization
v1v2 (latest)

On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization

18 December 2020
Dan Garber
Atara Kaplan
ArXiv (abs)PDFHTML

Papers citing "On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization"

17 / 17 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
68
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
60
5
0
08 Feb 2022
On the Convergence of Stochastic Gradient Descent with Low-Rank
  Projections for Convex Low-Rank Matrix Problems
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems
Dan Garber
76
4
0
31 Jan 2020
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without
  Strong Convexity
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
Dan Garber
81
15
0
03 Dec 2019
A Rank-1 Sketch for Matrix Multiplicative Weights
A Rank-1 Sketch for Matrix Multiplicative Weights
Y. Carmon
John C. Duchi
Aaron Sidford
Kevin Tian
73
25
0
07 Mar 2019
On the Convergence of Projected-Gradient Methods with Low-Rank
  Projections for Smooth Convex Minimization over Trace-Norm Balls and Related
  Problems
On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems
Dan Garber
114
15
0
05 Feb 2019
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal
  Storage
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
A. Yurtsever
Madeleine Udell
J. Tropp
Volkan Cevher
45
97
0
22 Feb 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and
  Faster MMWU
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
Zeyuan Allen-Zhu
Yuanzhi Li
69
44
0
06 Jan 2017
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
Constantine Caramanis
99
267
0
25 May 2016
Matrix Completion has No Spurious Local Minimum
Matrix Completion has No Spurious Local Minimum
Rong Ge
Jason D. Lee
Tengyu Ma
111
599
0
24 May 2016
A Unified Approach to Error Bounds for Structured Convex Optimization
  Problems
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Zirui Zhou
Anthony Man-Cho So
61
184
0
11 Dec 2015
Using Optimization to Obtain a Width-Independent, Parallel, Simpler, and
  Faster Positive SDP Solver
Using Optimization to Obtain a Width-Independent, Parallel, Simpler, and Faster Positive SDP Solver
Zeyuan Allen-Zhu
Y. Lee
L. Orecchia
62
72
0
08 Jul 2015
Non-convex Robust PCA
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
102
286
0
28 Oct 2014
A useful variant of the Davis--Kahan theorem for statisticians
A useful variant of the Davis--Kahan theorem for statisticians
Yi Yu
Tengyao Wang
R. Samworth
98
579
0
04 May 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
70
75
0
29 Mar 2014
Phase Retrieval using Alternating Minimization
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
221
633
0
02 Jun 2013
Faster and Simpler Width-Independent Parallel Algorithms for Positive
  Semidefinite Programming
Faster and Simpler Width-Independent Parallel Algorithms for Positive Semidefinite Programming
Richard Peng
Kanat Tangwongsan
Peng Zhang
116
44
0
24 Jan 2012
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