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On the Sample Complexity of Active Learning with Membership Queries

arXiv:2609.27241v1 Announce Type: new Abstract: This work revisits a fundamental question in active learning: how powerful is the ability to synthesize arbitrary queries? Compared to pool-based active learning, where the learner only selects queries from a given unlabeled pool, we find that this se…

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  1. 2026-09-24 04:00 · arXiv stat.ML
    On the Sample Complexity of Active Learning with Membership Queries

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