2022
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
ICLR 2022spotlight
Uncertainty awareness is crucial to develop reliable machine learning models. In this work, we propose the Natural Posterior Network (NatPN) for fast and high-quality uncertainty estimation for any task where the target distribution belongs to the exponential family. Thus, NatPN finds application fo…