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Extreme classification: beating chance with one training example from each class

arXiv:2609.20897v1 Announce Type: new Abstract: We study a minimal classification problem: Given independent labeled observations $X\sim P$ and $Z\sim Q$ from two unknown distributions $P,Q$, and given an independent target $Y$ drawn with equal probability from $P$ or $Q$, can one classify $Y$ stri…

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  1. 2026-09-21 04:00 · arXiv stat.ML
    Extreme classification: beating chance with one training example from each class

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