Excess risk analysis for epistemic uncertainty with application to variational inference

Futoshi Futami, Tomoharu Iwata, Naonori Ueda +2

Bayesian deep learning plays an important role especially for its ability evaluating epistemic uncertainty (EU). Due to computational complexity issues, approximation methods such…