An Introduction to Hamiltonian Monte Carlo Method for Sampling

27 August 2021

Papers citing "An Introduction to Hamiltonian Monte Carlo Method for Sampling"

11 / 11 papers shown

Title
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning Haque Ishfaq Guangyuan Wang Sami Nur Islam Doina Precup 128 4 0 29 Jan 2025
Bayesian Methodologies with pyhf Matthew Feickert Lukas Heinrich Malin Horstmann GP 13 2 0 29 Sep 2023
Sampling from a Gaussian distribution conditioned on the level set of a piecewise affine, continuous function Jesse Windle 33 0 0 21 Mar 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo Matthew Shunshi Zhang Sinho Chewi Mufan Li Krishnakumar Balasubramanian Murat A. Erdogdu 68 35 0 16 Feb 2023
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps Simon Apers S. Gribling Dániel Szilágyi 88 10 0 26 Sep 2022
On the Dissipation of Ideal Hamiltonian Monte Carlo Sampler Qijia Jiang 89 7 0 15 Sep 2022
Bayesian Inference with Latent Hamiltonian Neural Networks Somayajulu L. N. Dhulipala Yifeng Che Michael D. Shields BDL 80 3 0 12 Aug 2022
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time Jun-Kun Wang Andre Wibisono 97 9 0 05 Jul 2022
A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling Katy Craig Karthik Elamvazhuthi M. Haberland O. Turanova 87 15 0 25 Feb 2022
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees Oren Mangoubi Nisheeth K. Vishnoi 83 15 0 07 Nov 2021
Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo Apostolos Chalkis Vissarion Fisikopoulos Marios Papachristou Elias P. Tsigaridas 75 8 0 25 Feb 2021