2019
Variational Bayesian Decision-making for Continuous Utilities
NeurIPS 2019poster
Bayesian decision theory outlines a rigorous framework for making optimal decisions based on maximizing expected utility over a model posterior. However, practitioners often do not have access to the full posterior and resort to approximate inference strategies. In such cases, taking the eventual de…