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Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
v1v2 (latest)

Low-Rank Extragradient Methods for Scalable Semidefinite Optimization

14 February 2024
Dan Garber
Atara Kaplan
ArXiv (abs)PDFHTML

Papers citing "Low-Rank Extragradient Methods for Scalable Semidefinite Optimization"

6 / 6 papers shown
Title
Efficiency of First-Order Methods for Low-Rank Tensor Recovery with the
  Tensor Nuclear Norm Under Strict Complementarity
Efficiency of First-Order Methods for Low-Rank Tensor Recovery with the Tensor Nuclear Norm Under Strict Complementarity
Dan Garber
Atara Kaplan
23
1
0
03 Aug 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal
  Oracle
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
Dan Garber
Tsur Livney
Shoham Sabach
36
2
0
25 Oct 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
79
5
0
08 Feb 2022
On the simplicity and conditioning of low rank semidefinite programs
On the simplicity and conditioning of low rank semidefinite programs
Lijun Ding
Madeleine Udell
122
10
0
25 Feb 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 Problems
Dan Garber
81
4
0
31 Jan 2020
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
1