CLEAR jointly calibrates aleatoric and epistemic uncertainty estimates with two parameters and produces narrower calibrated prediction intervals across 17 regression datasets.
If ⌈(1 − α)(|Dcal| + 1)⌉ > |Dcal|, set γ∗ 1 = ∞
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CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
CLEAR jointly calibrates aleatoric and epistemic uncertainty estimates with two parameters and produces narrower calibrated prediction intervals across 17 regression datasets.