Variational Inference for Cutting Feedback in Misspecified Models

This talk delves into Bayesian analyses, focusing on the challenging task of cutting feedback in joint Bayesian models when certain terms are misspecified. It introduces cut posterior distributions as solutions to constrained optimization problems, offering a novel perspective.