AI RESEARCH
CLAPS: Aleatoric-Epistemic Scaling via Last-Layer Laplace for Conformal Regression
arXiv CS.LG
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ArXi:2512.01384v4 Announce Type: replace Conformal regression provides finite-sample marginal coverage, but it does not by itself determine how interval width should adapt across heterogeneous inputs. Existing locally adaptive methods mainly account for aleatoric noise, leaving uncertainty from weak