arxiv
PublishedOctober 15, 2026 at 4:00 AM
Bayesian Learning to Select Fair Classifiers
Publisher summary· verbatim
arXiv:2610.20514v1 Announce Type: new Abstract: Evaluations of classifiers (AI or human or agents) often assume a batch setting in which every agent produces labels on every example in a test set, which can be expensive or impractical in many contexts. This motivates online policies that adaptively
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Originally published on arxiv ↗