Stochastic Hamiltonian Gradient Methods for Smooth Games

ICML 2020 Nicolas LoizouHugo BerardAlexia Jolicoeur-MartineauPascal VincentSimon Lacoste-JulienIoannis Mitliagkas

The success of adversarial formulations in machine learning has brought renewed motivation for smooth games. In this work, we focus on the class of stochastic Hamiltonian methods and provide the first convergence guarantees for certain classes of stochastic smooth games... (read more)

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