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Split Hamiltonian Monte Carlo

29 June 2011

Papers citing "Split Hamiltonian Monte Carlo"

25 / 25 papers shown

Title
Split Hamiltonian Monte Carlo revisited F. Casas J. Sanz-Serna Luke Shaw 119 9 0 15 Jul 2022
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 86 76 0 14 Oct 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 102 49 0 24 Aug 2020
Faster MCMC for Gaussian Latent Position Network Models Neil A. Spencer B. Junker T. Sweet BDL 70 6 0 13 Jun 2020
Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models Matthew M. Graham Alexandre Hoang Thiery A. Beskos 70 16 0 06 Dec 2019
Implicit Hamiltonian Monte Carlo for Sampling Multiscale Distributions A. Pourzanjani Linda R. Petzold 53 8 0 02 Nov 2019
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo Adam D. Cobb A. G. Baydin Andrew Markham Stephen J. Roberts 62 32 0 14 Oct 2019
Deep Markov Chain Monte Carlo Babak Shahbaba L. M. Lomeli T. Chen Shiwei Lan BDL 66 8 0 13 Oct 2019
Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation Andrew J Holbrook Shiwei Lan A. Vandenberg-Rodes Babak Shahbaba 82 26 0 24 Dec 2016
phylodyn: an R package for phylodynamic simulation and inference Michael D. Karcher Julia A. Palacios Shiwei Lan V. Minin 52 55 0 18 Oct 2016
Pseudo-Marginal Hamiltonian Monte Carlo Johan Alenlöv Arnaud Doucet Fredrik Lindsten 89 22 0 08 Jul 2016
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models Chunyuan Li Changyou Chen Kai Fan Lawrence Carin BDL 101 25 0 23 Dec 2015
Recycling intermediate steps to improve Hamiltonian Monte Carlo A. Nishimura David B. Dunson 62 10 0 21 Nov 2015
A Geometric View of Posterior Approximation T. Chen J. Streets Babak Shahbaba 70 5 0 03 Oct 2015
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems Shiwei Lan T. Bui-Thanh M. Christie Mark Girolami 116 58 0 22 Jul 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation Nicolas Chopin James Ridgway 110 76 0 29 Jun 2015
Sampling constrained probability distributions using Spherical Augmentation Shiwei Lan Babak Shahbaba TPM 108 14 0 19 Jun 2015
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases Cheng Zhang Babak Shahbaba Hongkai Zhao 155 32 0 18 Jun 2015
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space Cheng Zhang Babak Shahbaba Hongkai Zhao 62 15 0 06 Apr 2015
An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics Shiwei Lan Julia A. Palacios Michael D. Karcher V. Minin Babak Shahbaba 58 36 0 29 Nov 2014
Hamiltonian Monte Carlo Without Detailed Balance Jascha Narain Sohl-Dickstein M. Mudigonda M. DeWeese 134 66 0 18 Sep 2014
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions Shiwei Lan Bo Zhou Babak Shahbaba 105 58 0 17 Sep 2013
Geodesic Monte Carlo on Embedded Manifolds Simon Byrne Mark Girolami 153 152 0 25 Jan 2013
Lagrangian Dynamical Monte Carlo Shiwei Lan V. Stathopoulos Babak Shahbaba Mark Girolami 135 45 0 15 Nov 2012
Advanced MCMC Methods for Sampling on Diffusion Pathspace A. Beskos K. Kalogeropoulos E. Pazos 134 27 0 28 Mar 2012