A Query Is Not a Commitment: Learning to Correct Expert Answers in Online Deferral
An inaccurate expert can still provide useful information after correction. We study online learning to defer in which the learner chooses an expert and fixes a correction function before purchasing its answer, then applies that function to the answer received.
By Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang OoiarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 7, 2026.
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