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Anand Brahmbhatt

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#machine learning Preprint Oct 2026

Tracking a Small Set of Experts in Online Convex Optimization

For the fundamental problem of prediction from expert advice, Freund asked whether one could compete with a comparator that switches $k$ times among only $m$ experts. For a discrete set of experts, this problem was resolved by Bousquet and Warmuth (2020), who gave an efficient algorithm with optimal regret matching the...

Angelos Assos, Anand Brahmbhatt, Elad Hazan · 0 citations

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