48 citations · 130 across the 21 of their papers we have counts for
Showing 2019Show all
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stat.ML2019★ 3 cited
Extragradient with player sampling for faster Nash equilibrium finding
Carles Domingo Enrich, Samy Jelassi, Carles Domingo-Enrich +3
Data-driven modeling increasingly requires to find a Nash equilibrium in multi-player games, e.g. when training GANs. In this paper, we analyse a new extra-gradient method for Nash…
math.OC2019★ 2 cited
Generalized Framework for Nonlinear Acceleration
Damien Scieur
Nonlinear acceleration algorithms improve the performance of iterative methods, such as gradient descent, using the information contained in past iterates. However, their efficienc…