Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models

Stefania Scheurer, Philipp Reiser, Tim Brünnette +3

Bayesian inference typically relies on a large number of model evaluations to estimate posterior distributions. Established methods like Markov Chain Monte Carlo (MCMC) and Amortiz…