2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
ICML 2024poster
Trustworthy ML systems should not only return accurate predictions, but also a reliable representation of their uncertainty. Bayesian methods are commonly used to quantify both aleatoric and epistemic uncertainty, but alternative approaches, such as evidential deep learning methods, have become popu…