AI RESEARCH
Epistemic Reject Option Prediction
arXiv CS.AI
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ArXi:2511.04855v2 Announce Type: replace In high-stakes applications, predictive models must not only produce accurate predictions but also quantify and communicate their uncertainty. Reject-option prediction addresses this by allowing the model to abstain when prediction uncertainty is high. Traditional reject-option approaches focus solely on aleatoric uncertainty, an assumption valid only when large