Julien Stoehr

Faster Hamiltonian Monte Carlo by learning leapfrog scale: an offline randomized solution

Abstract We introduce a Hamiltonian Monte Carlo (HMC) methodology based on an offline empirical calibration of randomized leapfrog parameters. The approach, referred to as eHMC, where e stands for empirical, leverages importance sampling to construct an empirical distribution on...