Deep unfolding of MCMC kernels: scalable, modular & explainable GANs for high-dimensional posterior sampling

Jonathan Spence, Tobías I. Liaudat, Konstantinos Zygalakis +1

Markov chain Monte Carlo (MCMC) methods are fundamental to Bayesian computation, but can be computationally intensive, especially in high-dimensional settings. Push-forward generat…