Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps

Simon Apers, Sander Gribling, Dániel Szilágyi

Hamiltonian Monte Carlo (HMC) is a Markov chain algorithm for sampling from a high-dimensional distribution with density $e^{-f(x)}$, given access to the gradient of $f$. A particu…