Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games

NeurIPSSpotlight2025

Authors
Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

In the classic expert problem, $\Phi$-regret measures the gap between the learner's total loss and that achieved by applying the best action transformation $\phi \in \Phi$…

Opening excerpt from the authors’ abstract. source

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Topics

regret

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