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Hamiltonian Monte Carlo Without Detailed Balance

18 September 2014

Jascha Narain Sohl-Dickstein

M. Mudigonda

M. DeWeese

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Papers citing "Hamiltonian Monte Carlo Without Detailed Balance"

21 / 21 papers shown

Title
Principled Gradient-based Markov Chain Monte Carlo for Text Generation Li Du Afra Amini Lucas Torroba Hennigen Xinyan Velocity Yu Jason Eisner Holden Lee Ryan Cotterell BDL 63 1 0 29 Dec 2023
Nonparametric Involutive Markov Chain Monte Carlo Carol Mak Fabian Zaiser C. Ong 81 1 0 02 Nov 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo L. Riou-Durand Jure Vogrinc 90 15 0 26 Feb 2022
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Greg Ver Steeg Aram Galstyan 80 15 0 03 Nov 2021
A Unifying and Canonical Description of Measure-Preserving Diffusions Alessandro Barp So Takao M. Betancourt Alexis Arnaudon Mark Girolami 79 17 0 06 May 2021
Exact Langevin Dynamics with Stochastic Gradients Adrià Garriga-Alonso Vincent Fortuin BDL 75 33 0 02 Feb 2021
A general perspective on the Metropolis-Hastings kernel Christophe Andrieu Anthony Lee Samuel Livingstone 86 25 0 29 Dec 2020
A Neural Network MCMC sampler that maximizes Proposal Entropy Zengyi Li Yubei Chen Friedrich T. Sommer 110 15 0 07 Oct 2020
Involutive MCMC: a Unifying Framework Kirill Neklyudov Max Welling Evgenii Egorov Dmitry Vetrov 103 38 0 30 Jun 2020
Markov chain Monte Carlo algorithms with sequential proposals Joonha Park Yves F. Atchadé BDL 41 13 0 15 Jul 2019
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario Christophe Andrieu Samuel Livingstone 75 28 0 14 Jun 2019
Differentiable Visual Computing Tzu-Mao Li 54 15 0 27 Apr 2019
Bayesian Neural Networks at Finite Temperature R. Baldock Nicola Marzari 53 3 0 08 Apr 2019
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 94 130 0 25 Nov 2017
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 122 31 0 13 Jun 2017
Forward Event-Chain Monte Carlo: Fast sampling by randomness control in irreversible Markov chains Manon Michel Alain Durmus S. Sénécal 52 34 0 27 Feb 2017
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
Magnetic Hamiltonian Monte Carlo Nilesh Tripuraneni Mark Rowland Zoubin Ghahramani Richard Turner 58 37 0 10 Jul 2016
On the Geometric Ergodicity of Hamiltonian Monte Carlo Samuel Livingstone M. Betancourt Simon Byrne Mark Girolami 141 117 0 29 Jan 2016
Identifying the Optimal Integration Time in Hamiltonian Monte Carlo M. Betancourt 78 38 0 02 Jan 2016
Compressible Generalized Hybrid Monte Carlo Youhan Fang J. Sanz-Serna R. Skeel 89 62 0 28 Feb 2014