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Last-iterate convergence rates for min-max optimization

Last-iterate convergence rates for min-max optimization

5 June 2019
Jacob D. Abernethy
Kevin A. Lai
Andre Wibisono
ArXivPDFHTML

Papers citing "Last-iterate convergence rates for min-max optimization"

16 / 16 papers shown
Title
Stability of Multi-Agent Learning: Convergence in Network Games with
  Many Players
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players
A. Hussain
D. Leonte
Francesco Belardinelli
Georgios Piliouras
MLT
21
0
0
26 Jul 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone
  Variational Inequalities: Improved Analysis under Weaker Conditions
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
S. Choudhury
Eduard A. Gorbunov
Nicolas Loizou
25
13
0
27 Feb 2023
Riemannian Hamiltonian methods for min-max optimization on manifolds
Riemannian Hamiltonian methods for min-max optimization on manifolds
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Pawan Kumar
Junbin Gao
30
17
0
25 Apr 2022
Stochastic Extragradient: General Analysis and Improved Rates
Stochastic Extragradient: General Analysis and Improved Rates
Eduard A. Gorbunov
Hugo Berard
Gauthier Gidel
Nicolas Loizou
19
40
0
16 Nov 2021
Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone
  Variational Inequalities and Connections With Cocoercivity
Extragradient Method: O(1/K)O(1/K)O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Eduard A. Gorbunov
Nicolas Loizou
Gauthier Gidel
28
64
0
08 Oct 2021
Higher-order methods for convex-concave min-max optimization and
  monotone variational inequalities
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
Brian Bullins
Kevin A. Lai
33
36
0
09 Jul 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou
Hugo Berard
Alexia Jolicoeur-Martineau
Pascal Vincent
Simon Lacoste-Julien
Ioannis Mitliagkas
39
50
0
08 Jul 2020
The limits of min-max optimization algorithms: convergence to spurious
  non-critical sets
The limits of min-max optimization algorithms: convergence to spurious non-critical sets
Ya-Ping Hsieh
P. Mertikopoulos
V. Cevher
29
81
0
16 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization
On the Impossibility of Global Convergence in Multi-Loss Optimization
Alistair Letcher
24
32
0
26 May 2020
Global Convergence and Variance-Reduced Optimization for a Class of
  Nonconvex-Nonconcave Minimax Problems
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang
Negar Kiyavash
Niao He
23
83
0
22 Feb 2020
Last iterate convergence in no-regret learning: constrained min-max
  optimization for convex-concave landscapes
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
Qi Lei
Sai Ganesh Nagarajan
Ioannis Panageas
Tianlin Li
14
43
0
17 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin
  Dynamics
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban
Yu-ting Huang
Ya-Ping Hsieh
Paul Rolland
C. Shi
V. Cevher
25
59
0
14 Feb 2020
Accelerating Smooth Games by Manipulating Spectral Shapes
Accelerating Smooth Games by Manipulating Spectral Shapes
Waïss Azizian
Damien Scieur
Ioannis Mitliagkas
Simon Lacoste-Julien
Gauthier Gidel
33
48
0
02 Jan 2020
Poincaré Recurrence, Cycles and Spurious Equilibria in
  Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
22
41
0
28 Oct 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
58
120
0
05 Feb 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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