Machine Learning, Statistics, Monte Carlo, Deep Learning.
random walk (blue line) that sometimes finds probable samples, but sometimes not. 1.5 Hamiltonian Monte Carlo (book pp. 387–390) Hamiltonian Monte Carlo is another Metropolis method, but benefits, in contrast to Gibbs sampling, from the evaluation of the gradient of some unknown distribution p(z).