Hybrid Monte Carlo
	• The obvious Markov chain makes a random perturbation to the data and accepts it with a probability that depends on the energy change. – Diffuses very slowly over flat regions – Cannot cross energy barriers easily • In high-dimensional spaces, it is much better to use the gradient to choose good directions and to use momentum. – Beats diffusion. Scales well. – Can cross energy barriers.