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Veronica Belmega

2 accepted papers

2021

Adaptive Extra-Gradient Methods for Min-Max Optimization and Games

ICLR 2021poster

We present a new family of min-max optimization algorithms that automatically exploit the geometry of the gradient data observed at earlier iterations to perform more informative extra-gradient steps in later ones. Thanks to this adaptation mechanism, the proposed method automatically detects whethe…

Cited by 58SourcePDFScholar
2019

An adaptive Mirror-Prox method for variational inequalities with singular operators

NeurIPS 2019poster

Lipschitz continuity is a central requirement for achieving the optimal O(1/T) rate of convergence in monotone, deterministic variational inequalities (a setting that includes convex minimization, convex-concave optimization, nonatomic games, and many other problems). However, in many cases of pract…

Cited by 53SourcePDFScholar