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02/15/2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Stochastic Gradient Descent-Ascent (SGDA) is one of the most prominent a...
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11/16/2021
Stochastic Extragradient: General Analysis and Improved Rates
The Stochastic Extragradient (SEG) method is one of the most popular alg...
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06/30/2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Two of the most prominent algorithms for solving unconstrained smooth ga...
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03/02/2021
Online Adversarial Attacks
Adversarial attacks expose important vulnerabilities of deep learning mo...
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07/08/2020
Stochastic Hamiltonian Gradient Methods for Smooth Games
The success of adversarial formulations in machine learning has brought ...
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06/11/2019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Generative adversarial networks have been very successful in generative ...
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02/28/2018
A Variational Inequality Perspective on Generative Adversarial Nets
Stability has been a recurrent issue in training generative adversarial ...
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08/08/2017
