Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1409.5191
Cited By
Hamiltonian Monte Carlo Without Detailed Balance
18 September 2014
Jascha Narain Sohl-Dickstein
M. Mudigonda
M. DeWeese
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Hamiltonian Monte Carlo Without Detailed Balance"
14 / 14 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
20
1
0
29 Dec 2023
Toward Unlimited Self-Learning MCMC with Parallel Adaptive Annealing
Yuma Ichikawa
Akira Nakagawa
Hiromoto Masayuki
Yuhei Umeda
BDL
18
0
0
25 Nov 2022
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak
Fabian Zaiser
C. Ong
17
1
0
02 Nov 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
28
25
0
20 Mar 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo
L. Riou-Durand
Jure Vogrinc
15
14
0
26 Feb 2022
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg
Aram Galstyan
30
13
0
03 Nov 2021
Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions
Chirag Modi
A. Barnett
Bob Carpenter
36
14
0
01 Oct 2021
A Unifying and Canonical Description of Measure-Preserving Diffusions
Alessandro Barp
So Takao
M. Betancourt
Alexis Arnaudon
Mark Girolami
20
17
0
06 May 2021
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
17
24
0
29 Dec 2020
A Neural Network MCMC sampler that maximizes Proposal Entropy
Zengyi Li
Yubei Chen
Friedrich T. Sommer
25
14
0
07 Oct 2020
Involutive MCMC: a Unifying Framework
Kirill Neklyudov
Max Welling
Evgenii Egorov
Dmitry Vetrov
8
36
0
30 Jun 2020
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario
Christophe Andrieu
Samuel Livingstone
31
28
0
14 Jun 2019
Modified Hamiltonian Monte Carlo for Bayesian inference
Tijana Radivojević
E. Akhmatskaya
12
31
0
13 Jun 2017
On the Geometric Ergodicity of Hamiltonian Monte Carlo
Samuel Livingstone
M. Betancourt
Simon Byrne
Mark Girolami
34
116
0
29 Jan 2016
1