Modified Hamiltonian Monte Carlo for Bayesian inference

13 June 2017

Papers citing "Modified Hamiltonian Monte Carlo for Bayesian inference"

34 / 34 papers shown

Title
Dynamically rescaled Hamiltonian Monte Carlo for Bayesian Hierarchical Models T. S. Kleppe 59 11 0 06 Jun 2018
Stochastic Variance-Reduced Hamilton Monte Carlo Methods Difan Zou Pan Xu Quanquan Gu BDL 57 31 0 13 Feb 2018
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 68 130 0 25 Nov 2017
Roll-back Hamiltonian Monte Carlo Kexin Yi Finale Doshi-Velez BDL 109 8 0 08 Sep 2017
Kinetic energy choice in Hamiltonian/hybrid Monte Carlo Samuel Livingstone Michael F Faulkner Gareth O. Roberts 51 45 0 08 Jun 2017
Stochastic Gradient Monomial Gamma Sampler Yizhe Zhang Changyou Chen Zhe Gan Ricardo Henao Lawrence Carin BDL 48 11 0 05 Jun 2017
Continuously tempered Hamiltonian Monte Carlo Matthew M. Graham Amos J. Storkey 52 26 0 11 Apr 2017
Nonreversible Langevin Samplers: Splitting Schemes, Analysis and Implementation A. B. Duncan G. Pavliotis K. Zygalakis 53 25 0 16 Jan 2017
Relativistic Monte Carlo Xiaoyu Lu Valerio Perrone Leonard Hasenclever Yee Whye Teh Sebastian J. Vollmer BDL 44 39 0 14 Sep 2016
Magnetic Hamiltonian Monte Carlo Nilesh Tripuraneni Mark Rowland Zoubin Ghahramani Richard Turner 48 37 0 10 Jul 2016
Geometrically Tempered Hamiltonian Monte Carlo A. Nishimura David B. Dunson 32 22 0 04 Apr 2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Yizhe Zhang Xiangyu Wang Changyou Chen Ricardo Henao Kai Fan Lawrence Carin 135 21 0 25 Feb 2016
Variational Hamiltonian Monte Carlo via Score Matching Cheng Zhang Babak Shahbaba Hongkai Zhao BDL 48 26 0 06 Feb 2016
On the Geometric Ergodicity of Hamiltonian Monte Carlo Samuel Livingstone M. Betancourt Simon Byrne Mark Girolami 92 116 0 29 Jan 2016
Recycling intermediate steps to improve Hamiltonian Monte Carlo A. Nishimura David B. Dunson 43 10 0 21 Nov 2015
The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method Alexandre Bouchard-Côté Sebastian J. Vollmer Arnaud Doucet 67 237 0 08 Oct 2015
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases Cheng Zhang Babak Shahbaba Hongkai Zhao 55 32 0 18 Jun 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families Heiko Strathmann Dino Sejdinovic Samuel Livingstone Z. Szabó Arthur Gretton BDL 63 76 0 08 Jun 2015
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space Cheng Zhang Babak Shahbaba Hongkai Zhao 42 15 0 06 Apr 2015
Mathematical understanding of detailed balance condition violation and its application to Langevin dynamics Masayuki Ohzeki A. Ichiki 32 15 0 09 Mar 2015
Hamiltonian Monte Carlo Without Detailed Balance Jascha Narain Sohl-Dickstein M. Mudigonda M. DeWeese 54 66 0 18 Sep 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models Yichuan Zhang Charles Sutton 65 20 0 15 Jun 2014
Compressible Generalized Hybrid Monte Carlo Youhan Fang J. Sanz-Serna R. Skeel 70 61 0 28 Feb 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 106 910 0 17 Feb 2014
Tempering by Subsampling Jan-Willem van de Meent Brooks Paige Frank Wood TPM 121 9 0 28 Jan 2014
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions Ari Pakman Liam Paninski 93 80 0 09 Nov 2013
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions Shiwei Lan Bo Zhou Babak Shahbaba 82 58 0 17 Sep 2013
Wormhole Hamiltonian Monte Carlo Shiwei Lan J. Streets Babak Shahbaba 89 65 0 01 Jun 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers Ziyun Wang S. Mohamed Nando de Freitas 152 56 0 25 Feb 2013
Lagrangian Dynamical Monte Carlo Shiwei Lan V. Stathopoulos Babak Shahbaba Mark Girolami 88 46 0 15 Nov 2012
Hamiltonian Monte Carlo with Reduced Momentum Flips Jascha Narain Sohl-Dickstein 71 8 0 09 May 2012
Hamiltonian Annealed Importance Sampling for partition function estimation Jascha Narain Sohl-Dickstein B. J. Culpepper 114 38 0 09 May 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 165 4,302 0 18 Nov 2011
Importance Tempering R. Gramacy R. Samworth Ruth King 137 73 0 28 Jul 2007