Spherical Hamiltonian Monte Carlo for Constrained Target Distributions

Shiwei Lan, Bo Zhou, Babak Shahbaba

Abstract: Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit models, many copu...