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2021-12
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
NEURIPS 2021
(2021-12-06)
proceedings.neurips.ccPDF[Also on arXiv preprint arXiv:2107.00052 (2021-06-30)]A single gradient step finds adversarial examples on random two-layers neural networks
2021-11
Stochastic Extragradient: General Analysis and Improved Rates
Generating Diverse Realistic Laughter for Interactive Art.
2021-10
Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks.
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity.
2021-06
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging.
2021-03
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
Online Adversarial Attacks.
2021-01
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org[LATEST on arXiv preprint arXiv:2110.04041 (2021-10-08)]2020-12
Multi-player games in the era of machine learning
2020-07
Linear Lower Bounds and Conditioning of Differentiable Games
Adversarial Example Games.
2020-06
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
Accelerating Smooth Games by Manipulating Spectral Shapes.
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2001.00602 (2020-01-02)]2020-04
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
2020-01
Adversarial Example Games
2019-06
Lower Bounds and Conditioning of Differentiable Games.
A Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.
2019-05
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
2019-04
Negative Momentum for Improved Game Dynamics
2019-01
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
Reducing Noise in GAN Training with Variance Reduced Extragradient
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
2018-07
Negative Momentum for Improved Game Dynamics
2018-03
Frank-Wolfe Splitting via Augmented Lagrangian Method
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF[LATEST on arXiv: Optimization and Control (2018-04-09)]2018-02
A Variational Inequality Perspective on Generative Adversarial Networks
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
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