Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling

Henrik Christiansen, Federico Errica, Francesco Alesiani

The performance of Hamiltonian Monte Carlo simulations crucially depends on both the integration timestep and the number of integration steps. We present an adaptive general-purpos…