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Towards optimal selection schedules for online active learning

arXiv:2610.23477v1 Announce Type: new Abstract: We consider the problem of online linear classification, where a stream of unlabeled samples is available, and annotation is costly. We investigate the optimal query policy, that prescribes whether and when a sample should be labeled and used for a tr…

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  1. 2026-10-19 04:00 · arXiv stat.ML
    Towards optimal selection schedules for online active learning

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