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TOOL · CL_301157 · Oct 15 · 04:00

New research optimizes dynamic regret in online learning

A new research paper published on arXiv details advancements in online learning, specifically addressing the challenge of tracking changing comparators. The paper introduces a dimension-optimal dynamic regret bound for …