Unified Variational Design of Predictive Mirror Descent
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A Unified Variational Design of Predictive Mirror Descent in Convex Games under Stochastic Feedback
Announce Type: cross Abstract: Mirror descent provides a geometric framework for learning in games, but its last-iterate behavior can fail in weakly stable regimes, where the dynamics may exhibit rotational or recurrent transients. Predictive mirror methods mitigate this issue by modifying the feedback entering the mirror update, yet standard predictive variants are typically introduced algorithmically and analyzed one at a time. This letter gives a variational route to predictive feedback...