On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors

Julius Kobialka, Emanuel Sommer, Chris Kolb +3

Bayesian neural network (BNN) posteriors are often considered impractical for inference, as symmetries fragment them, non-identifiabilities inflate dimensionality, and weight-space…