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2202.04026
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Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Neural Information Processing Systems (NeurIPS), 2022
8 February 2022
Dan Garber
Atara Kaplan
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Papers citing
"Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems"
23 / 23 papers shown
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
Dan Garber
Atara Kaplan
278
0
0
14 Feb 2024
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
276
1
0
23 Jun 2022
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Neural Information Processing Systems (NeurIPS), 2022
Dan Garber
Ron Fisher
333
1
0
08 Feb 2022
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
Mathematics of Operations Research (MOR), 2020
Dan Garber
Atara Kaplan
307
6
0
18 Dec 2020
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
Neural Information Processing Systems (NeurIPS), 2020
K. K. Thekumparampil
Prateek Jain
Praneeth Netrapalli
Sewoong Oh
224
26
0
05 Oct 2020
k
k
k
FW: A Frank-Wolfe style algorithm with stronger subproblem oracles
Lijun Ding
Jicong Fan
Madeleine Udell
360
7
0
29 Jun 2020
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems
Annual Conference Computational Learning Theory (COLT), 2020
Dan Garber
244
4
0
31 Jan 2020
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
Mathematical programming (Math. Program.), 2019
Dan Garber
378
18
0
03 Dec 2019
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
Vasileios Charisopoulos
Yudong Chen
Damek Davis
Mateo Díaz
Lijun Ding
Dmitriy Drusvyatskiy
336
97
0
22 Apr 2019
On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems
Dan Garber
365
17
0
05 Feb 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
Neural Information Processing Systems (NeurIPS), 2019
Francesco Locatello
A. Yurtsever
Olivier Fercoq
Volkan Cevher
246
19
0
29 Jan 2019
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Dan Garber
Atara Kaplan
244
11
0
27 Sep 2018
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Quanming Yao
James T. Kwok
Taifeng Wang
Tie-Yan Liu
541
98
0
01 Aug 2017
Community Detection and Stochastic Block Models
Emmanuel Abbe
525
1,342
0
29 Mar 2017
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
Constantine Caramanis
329
279
0
25 May 2016
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Zirui Zhou
Anthony Man-Cho So
253
194
0
11 Dec 2015
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
429
179
0
14 Sep 2015
Robust Matrix Completion
Probability theory and related fields (PTRF), 2014
Olga Klopp
Karim Lounici
Alexandre B. Tsybakov
466
127
0
28 Dec 2014
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
386
297
0
28 Oct 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization
Canyi Lu
Jinhui Tang
Shuicheng Yan
Zhouchen Lin
253
289
0
29 Apr 2014
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
SIAM Journal on Scientific Computing (SISC), 2014
Cun Mu
Yuqian Zhang
John N. Wright
Shiqian Ma
263
77
0
29 Mar 2014
Estimation of Simultaneously Sparse and Low Rank Matrices
International Conference on Machine Learning (ICML), 2012
E. Richard
Pierre-André Savalle
Nicolas Vayatis
237
210
0
27 Jun 2012
Online Learning for Matrix Factorization and Sparse Coding
Journal of machine learning research (JMLR), 2009
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
789
2,678
0
01 Aug 2009
1
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