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

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

7 June 2022
Aniket Das
Bernhard Schölkopf
Michael Muehlebach
ArXivPDFHTML

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

3 / 3 papers shown
Title
Central Limit Theorem for Two-Timescale Stochastic Approximation with
  Markovian Noise: Theory and Applications
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
Jie Hu
Vishwaraj Doshi
Do Young Eun
36
4
0
17 Jan 2024
Provably Fast Finite Particle Variants of SVGD via Virtual Particle
  Stochastic Approximation
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Aniket Das
Dheeraj M. Nagaraj
35
7
0
27 May 2023
Manipulating SGD with Data Ordering Attacks
Manipulating SGD with Data Ordering Attacks
Ilia Shumailov
Zakhar Shumaylov
Dmitry Kazhdan
Yiren Zhao
Nicolas Papernot
Murat A. Erdogdu
Ross J. Anderson
AAML
112
90
0
19 Apr 2021
1