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On the Convergence of Projected-Gradient Methods with Low-Rank
  Projections for Smooth Convex Minimization over Trace-Norm Balls and Related
  Problems
v1v2 (latest)

On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems

5 February 2019
Dan Garber
ArXiv (abs)PDFHTML

Papers citing "On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems"

12 / 12 papers shown
Accelerated Frank-Wolfe Algorithms: Complementarity Conditions and Sparsity
Accelerated Frank-Wolfe Algorithms: Complementarity Conditions and Sparsity
Dan Garber
126
1
0
04 Nov 2025
A Randomized Linearly Convergent Frank-Wolfe-type Method for Smooth Convex Minimization over the Spectrahedron
A Randomized Linearly Convergent Frank-Wolfe-type Method for Smooth Convex Minimization over the Spectrahedron
Dan Garber
384
2
0
03 Mar 2025
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
Dan Garber
Atara Kaplan
280
0
0
14 Feb 2024
Nonsmooth Projection-Free Optimization with Functional Constraints
Nonsmooth Projection-Free Optimization with Functional Constraints
Kamiar Asgari
Michael J. Neely
210
1
0
18 Nov 2023
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
276
1
0
23 Jun 2022
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral
  Unmixing
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral UnmixingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
Meng Ding
Xiao Fu
Xile Zhao
211
19
0
08 May 2022
Local Linear Convergence of Gradient Methods for Subspace Optimization
  via Strict Complementarity
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict ComplementarityNeural Information Processing Systems (NeurIPS), 2022
Dan Garber
Ron Fisher
334
1
0
08 Feb 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2022
Dan Garber
Atara Kaplan
311
6
0
08 Feb 2022
On the Efficient Implementation of the Matrix Exponentiated Gradient
  Algorithm for Low-Rank Matrix Optimization
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix OptimizationMathematics of Operations Research (MOR), 2020
Dan Garber
Atara Kaplan
310
6
0
18 Dec 2020
$k$FW: A Frank-Wolfe style algorithm with stronger subproblem oracles
kkkFW: 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
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix ProblemsAnnual Conference Computational Learning Theory (COLT), 2020
Dan Garber
246
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 ConvexityMathematical programming (Math. Program.), 2019
Dan Garber
383
18
0
03 Dec 2019
1
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