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Relative Lipschitzness in Extragradient Methods and a Direct Recipe for
  Acceleration

Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration

12 November 2020
Michael B. Cohen
Aaron Sidford
Kevin Tian
ArXivPDFHTML

Papers citing "Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration"

5 / 5 papers shown
Title
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean
  Proximal Sampler
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
Sivakanth Gopi
Y. Lee
Daogao Liu
Ruoqi Shen
Kevin Tian
19
7
0
13 Feb 2023
Optimal Algorithms for Stochastic Complementary Composite Minimization
Optimal Algorithms for Stochastic Complementary Composite Minimization
Alexandre d’Aspremont
Cristóbal Guzmán
Clément Lezane
33
3
0
03 Nov 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point
  Problems: A Survey
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
Aleksandr Beznosikov
Boris Polyak
Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
44
31
0
29 Aug 2022
No-Regret Dynamics in the Fenchel Game: A Unified Framework for
  Algorithmic Convex Optimization
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization
Jun-Kun Wang
Jacob D. Abernethy
Kfir Y. Levy
27
21
0
22 Nov 2021
First-Order Methods for Convex Optimization
First-Order Methods for Convex Optimization
Pavel Dvurechensky
Mathias Staudigl
Shimrit Shtern
ODL
33
25
0
04 Jan 2021
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