Sampling through iterated approximation: Gradient-free and multi-fidelity Bayesian inference via transport

Daniel Sharp, Bart van Bloemen Waanders, Youssef Marzouk

We develop an iterative framework for Bayesian inference problems where the posterior distribution may involve computationally intensive models, intractable gradients, significant…