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stat.ML2026
Stochastic Gradient Descent Ascent is Suboptimal for Nonconvex-PŁ Min-Max Games
Junsoo Ha
How far can stochastic gradient descent ascent (SGDA) go by tuning its timescale ratio and step sizes in nonconvex min-max games? We answer this question for nonconvex-PŁ (NC-PŁ) g…
cs.GT2026
A Horizon-Independent Regret Bound for Optimistic Hedge in General-Sum Games
Junsoo Ha
Can simple learning rules keep their regret bounded in self-play? Recent work achieves constant regret bounds through modified regularization and higher-order prediction. Yet for O…
cs.GT2026
A Logarithmic Regret Bound for Optimistic Hedge in General-Sum Games
Junsoo Ha
Can simple no-regret dynamics attain smaller regret in self-play than against arbitrary adversaries? In -player general-sum games, Daskalakis et al. 2021 proved an $O(n\log d_i\…