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Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax
  Optimization
v1v2 (latest)

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization

Neural Information Processing Systems (NeurIPS), 2022
7 June 2022
Aniket Das
Bernhard Schölkopf
Michael Muehlebach
ArXiv (abs)PDFHTML

Papers citing "Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization"

3 / 3 papers shown
Title
Provably Fast Finite Particle Variants of SVGD via Virtual Particle
  Stochastic Approximation
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic ApproximationNeural Information Processing Systems (NeurIPS), 2023
Aniket Das
Dheeraj M. Nagaraj
376
8
0
27 May 2023
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax
  optimization
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimizationInternational Conference on Learning Representations (ICLR), 2022
Hanseul Cho
Chulhee Yun
193
9
0
12 Oct 2022
Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max
  Problems
Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems
Kunal Garg
Mayank Baranwal
100
3
0
26 Jul 2022
1