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Found 2 papers, 2 papers with code
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling
This discretisation is asymptotically unbiased for Gaussian targets and shown to converge in an accelerated manner for any target that is $\kappa$-strongly log-concave (i. e., requiring in the order of $\sqrt{\kappa}$ iterations to converge, similarly to accelerated optimisation schemes), comparing favorably to [M. Pereyra, L. Vargas Mieles, K. C.
Geometric integrators and the Hamiltonian Monte Carlo method
This paper surveys in detail the relations between numerical integration and the Hamiltonian (or hybrid) Monte Carlo method (HMC).
Probability Numerical Analysis Computation Methodology
