Munich Center for Machine Learning; Institute of Informatics, University of Munich (LMU); Department of Data Analysis and Mathematical Modeling, Ghent University
Viktor Bengs, Eyke Hüllermeier, Willem Waegeman
Uncertainty Quantification;Empirical Loss Minimisation;Proper Scoring Rules
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation