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News/Minimax Alternating Regret for the Experts Problem and Online Convex Optimization
arxiv
PublishedAugust 27, 2026 at 4:00 AM

Minimax Alternating Regret for the Experts Problem and Online Convex Optimization

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arXiv:2608.25182v1 Announce Type: cross Abstract: In this paper, we study alternating regret in online convex optimization (OCO), motivated by the success of alternating learning dynamics in two-player games. Although previous works have shown that $o(\sqrt{T})$ alternating regret is achievable unde

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