On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss

Mohammed Fellaji, Frédéric Pennerath, Brieuc Conan-Guez +1

The calibration of predictive distributions has been widely studied in deep learning, but the same cannot be said about the more specific epistemic uncertainty as produced by Deep…