Bayesian Operator Learning: Posterior Existence and Convergence of Point Estimates for Gaussian Priors

Niklas Reinhardt, Jakob Zech

We develop a Bayesian framework for learning nonlinear operators between infinite-dimensional spaces. Given a map $g_0:\mathcal{X}\to \mathcal{Y}$ between separable Hilbert spaces,…