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Duy Hoang Dang

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#machine learning May 2026

Online Learning-to-Defer with Varying Experts

An online multiclass L2D algorithm that combines queried-action bandit feedback with a dynamically varying pool of experts is introduced that achieves expected true-deferral regret under a concentrated-score condition.

Duy Hoang Dang, Yannis Montreuil, Maxime Meyer et al. · arXiv.org · 5 citations