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Negative Momentum for Improved Game Dynamics

Negative Momentum for Improved Game Dynamics

12 July 2018
Gauthier Gidel
Reyhane Askari Hemmat
Mohammad Pezeshki
Rémi Le Priol
Gabriel Huang
Simon Lacoste-Julien
Ioannis Mitliagkas
    AI4CE
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Papers citing "Negative Momentum for Improved Game Dynamics"

26 / 26 papers shown
Title
Negative Stepsizes Make Gradient-Descent-Ascent Converge
Negative Stepsizes Make Gradient-Descent-Ascent Converge
Henry Shugart
Jason M. Altschuler
25
0
0
02 May 2025
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Hiroki Naganuma
Xinzhi Zhang
Man-Chung Yue
Ioannis Mitliagkas
Philipp A. Witte
Russell J. Hewett
Yin Tat Lee
63
0
0
25 Apr 2025
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
33
3
0
18 Oct 2024
One-Shot Safety Alignment for Large Language Models via Optimal
  Dualization
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
Xinmeng Huang
Shuo Li
Edgar Dobriban
Osbert Bastani
Hamed Hassani
Dongsheng Ding
47
3
0
29 May 2024
Optimal Guarantees for Algorithmic Reproducibility and Gradient
  Complexity in Convex Optimization
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang
Junchi Yang
Amin Karbasi
Niao He
26
2
0
26 Oct 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed
  Variational Inequalities: Unified Analysis and Local Updates
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Siqi Zhang
S. Choudhury
Sebastian U. Stich
Nicolas Loizou
FedML
19
3
0
08 Jun 2023
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
37
31
0
29 Aug 2022
On Scaled Methods for Saddle Point Problems
On Scaled Methods for Saddle Point Problems
Aleksandr Beznosikov
Aibek Alanov
D. Kovalev
Martin Takáč
Alexander Gasnikov
22
4
0
16 Jun 2022
Evolutionary Game Theory Squared: Evolving Agents in Endogenously
  Evolving Zero-Sum Games
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
Stratis Skoulakis
Tanner Fiez
Ryan Sim
Georgios Piliouras
Lillian J. Ratliff
14
13
0
15 Dec 2020
Adaptive extra-gradient methods for min-max optimization and games
Adaptive extra-gradient methods for min-max optimization and games
Kimon Antonakopoulos
E. V. Belmega
P. Mertikopoulos
54
46
0
22 Oct 2020
Adversarial score matching and improved sampling for image generation
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau
Remi Piche-Taillefer
Rémi Tachet des Combes
Ioannis Mitliagkas
DiffM
24
125
0
11 Sep 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
31
50
0
08 Jul 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani
Oren Mangoubi
Sushant Sachdeva
Nisheeth K. Vishnoi
13
1
0
22 Jun 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
27
81
0
16 Jun 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
Distributed No-Regret Learning in Multi-Agent Systems
Distributed No-Regret Learning in Multi-Agent Systems
Xiao Xu
Qing Zhao
12
12
0
20 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
Towards Better Understanding of Adaptive Gradient Algorithms in
  Generative Adversarial Nets
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
Mingrui Liu
Youssef Mroueh
Jerret Ross
Wei Zhang
Xiaodong Cui
Payel Das
Tianbao Yang
ODL
30
63
0
26 Dec 2019
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
14
41
0
28 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay
Demon: Improved Neural Network Training with Momentum Decay
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
ODL
16
15
0
11 Oct 2019
Fast and Provable ADMM for Learning with Generative Priors
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez
Armin Eftekhari
V. Cevher
GAN
25
43
0
07 Jul 2019
Linear Lower Bounds and Conditioning of Differentiable Games
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim
Waïss Azizian
Gauthier Gidel
Ioannis Mitliagkas
23
10
0
17 Jun 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
17
36
0
26 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
31
79
0
13 May 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova
Gauthier Gidel
F. Fleuret
Simon Lacoste-Julien
22
134
0
18 Apr 2019
Nonparametric Density Estimation & Convergence Rates for GANs under
  Besov IPM Losses
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal
Shashank Singh
Barnabás Póczós
27
52
0
09 Feb 2019
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