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Delay Complexity Dimension: Learning with Delayed and Censored Labels

arXiv:2610.18935v1 Announce Type: new Abstract: We study PAC learning of binary classifiers when labels arrive after random delays and are censored beyond an observation window $W$. How many samples does this observation model require? We propose a distribution-dependent answer, the Delay Complexit…

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  1. 2026-10-15 04:00 · arXiv stat.ML
    Delay Complexity Dimension: Learning with Delayed and Censored Labels

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