Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets

Neural Information Processing Systems 

Langevin Monte Carlo, the Hamiltonian Monte Carlo and their Metropolis adjusted counterparts were shown to have attractive features both in practice and in theory.