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Margin Certificates for Voting Classifiers under Mixing Dependence

arXiv:2610.24166v1 Announce Type: cross Abstract: Margin bounds explain why weighted votes generalize after training error vanishes, but dependent observations require concentration arguments that keep the dependence model and failure budget explicit. We study stationary mixing streams without trea…

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  1. 2026-10-20 04:00 · arXiv stat.ML
    Margin Certificates for Voting Classifiers under Mixing Dependence

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