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Strongly Adaptive Online Learning with Time-Varying Movement Costs

arXiv:2610.32740v1 Announce Type: cross Abstract: We study strongly adaptive regret for Online Convex Optimization (OCO) with time-varying movement costs, a setting that evaluates a learner's performance over arbitrary sub-intervals. This framework captures complex sequential decision-making proble…

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  1. 2026-10-26 04:00 · arXiv stat.ML
    Strongly Adaptive Online Learning with Time-Varying Movement Costs

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