Near-Optimal Approximations for Bayesian Inference in Function Space

Veit Wild, James Wu, Dino Sejdinovic +1

We propose a scalable inference algorithm for Bayes posteriors defined on a reproducing kernel Hilbert space (RKHS). Given a likelihood function and a Gaussian random element repre…