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1706.02649
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Kinetic energy choice in Hamiltonian/hybrid Monte Carlo
8 June 2017
Samuel Livingstone
Michael F Faulkner
Gareth O. Roberts
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Papers citing
"Kinetic energy choice in Hamiltonian/hybrid Monte Carlo"
23 / 23 papers shown
Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
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Samuel Livingstone
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On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
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Samuel Gruffaz
Miika Kailas
E. Saksman
M. Vihola
221
9
0
07 Jul 2023
Sampling algorithms in statistical physics: a guide for statistics and machine learning
Statistical Science (Statist. Sci.), 2022
Michael F Faulkner
Samuel Livingstone
255
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0
09 Aug 2022
Unbiased Estimation using Underdamped Langevin Dynamics
SIAM Journal on Scientific Computing (SISC), 2022
Hamza Ruzayqat
Neil K. Chada
Ajay Jasra
236
7
0
14 Jun 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
207
21
0
01 Jun 2022
Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm
Randal Douc
Alain Durmus
Aurélien Enfroy
Jimmy Olsson
278
2
0
13 Jan 2022
The Apogee to Apogee Path Sampler
Chris Sherlock
S. Urbas
Matthew Ludkin
314
7
0
15 Dec 2021
Entropy-based adaptive Hamiltonian Monte Carlo
Marcel Hirt
Michalis K. Titsias
P. Dellaportas
BDL
282
9
0
27 Oct 2021
Cauchy Markov Random Field Priors for Bayesian Inversion
Statistics and computing (Stat Comput), 2021
Neil K. Chada
L. Roininen
Jarkko Suuronen
406
29
0
26 May 2021
A fresh take on 'Barker dynamics' for MCMC
Monte Carlo and Quasi-Monte Carlo Methods (MCQMC), 2020
Max Hird
Samuel Livingstone
T. Rigon
353
11
0
17 Dec 2020
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors
N. Biswas
A. Bhattacharya
Pierre E. Jacob
J. Johndrow
520
19
0
09 Dec 2020
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates
Journal of Computational And Graphical Statistics (JCGS), 2020
T. S. Kleppe
300
15
0
04 May 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
International Conference on Machine Learning (ICML), 2020
Umut Simsekli
Lingjiong Zhu
Yee Whye Teh
Mert Gurbuzbalaban
299
57
0
13 Feb 2020
Markov Chain Monte Carlo Methods, a survey with some frequent misunderstandings
Christian P. Robert
Changye Wu
319
10
0
17 Jan 2020
Bregman dynamics, contact transformations and convex optimization
Information Geometry (IG), 2019
A. Bravetti
M. Daza-Torres
Hugo Flores-Arguedas
M. Betancourt
333
1
0
06 Dec 2019
Conformal Symplectic and Relativistic Optimization
G. Francca
Jeremias Sulam
Daniel P. Robinson
René Vidal
587
75
0
11 Mar 2019
Accelerating MCMC Algorithms
Christian P. Robert
Victor Elvira
Nicholas G. Tawn
Changye Wu
327
148
0
08 Apr 2018
Unbiased Hamiltonian Monte Carlo with couplings
J. Heng
Pierre E. Jacob
366
65
0
01 Sep 2017
Unbiased Markov chain Monte Carlo with couplings
Pierre E. Jacob
J. O'Leary
Yves F. Atchadé
487
75
0
11 Aug 2017
Modified Hamiltonian Monte Carlo for Bayesian inference
Statistics and computing (Stat. Comput.), 2017
Tijana Radivojević
E. Akhmatskaya
466
35
0
13 Jun 2017
On the convergence of Hamiltonian Monte Carlo
Alain Durmus
Eric Moulines
E. Saksman
242
72
0
29 Apr 2017
Recycling intermediate steps to improve Hamiltonian Monte Carlo
A. Nishimura
David B. Dunson
291
11
0
21 Nov 2015
Geometric ergodicity of the Random Walk Metropolis with position-dependent proposal covariance
Samuel Livingstone
454
15
0
21 Jul 2015
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