AI RESEARCH
Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
arXiv CS.LG
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ArXi:2605.25616v1 Announce Type: new Single-pass uncertainty quantification (UQ) methods for classification represent uncertainty by predicting a tractable distribution over the class probability vector. While existing approaches primarily focus on enhancing the expressiveness of this distribution, they often provide limited insight into how predictive uncertainty is structured and aggregated, resulting in weak interpretability. We