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math.OC2026
Shuffling the Data, Stretching the Step-size: Sharper Bias in constant step-size SGD
Konstantinos Emmanouilidis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Rene Vidal
From adversarial robustness to multi-agent learning, many machine learning tasks can be cast as finite-sum min-max optimization or, more generally, as variational inequality proble…
math.OC2024★ 1 cited
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
Konstantinos Emmanouilidis, René Vidal, Nicolas Loizou
The Stochastic Extragradient (SEG) method is one of the most popular algorithms for solving finite-sum min-max optimization and variational inequality problems (VIPs) appearing in…