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Kinetic energy choice in Hamiltonian/hybrid Monte Carlo
v1v2v3 (latest)

Kinetic energy choice in Hamiltonian/hybrid Monte Carlo

8 June 2017
Samuel Livingstone
Michael F Faulkner
Gareth O. Roberts
ArXiv (abs)PDFHTML

Papers citing "Kinetic energy choice in Hamiltonian/hybrid Monte Carlo"

17 / 17 papers shown
Title
On the convergence of dynamic implementations of Hamiltonian Monte Carlo
  and No U-Turn Samplers
On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
Alain Durmus
Samuel Gruffaz
Miika Kailas
E. Saksman
M. Vihola
76
5
0
07 Jul 2023
Unbiased Estimation using Underdamped Langevin Dynamics
Unbiased Estimation using Underdamped Langevin Dynamics
Hamza Ruzayqat
Neil K. Chada
Ajay Jasra
81
6
0
14 Jun 2022
Convergence of Stein Variational Gradient Descent under a Weaker
  Smoothness Condition
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
90
19
0
01 Jun 2022
The Apogee to Apogee Path Sampler
The Apogee to Apogee Path Sampler
Chris Sherlock
S. Urbas
Matthew Ludkin
99
6
0
15 Dec 2021
Cauchy Markov Random Field Priors for Bayesian Inversion
Cauchy Markov Random Field Priors for Bayesian Inversion
Neil K. Chada
L. Roininen
Jarkko Suuronen
51
24
0
26 May 2021
A fresh take on 'Barker dynamics' for MCMC
A fresh take on 'Barker dynamics' for MCMC
Max Hird
Samuel Livingstone
Giacomo Zanella
102
9
0
17 Dec 2020
Coupling-based convergence assessment of some Gibbs samplers for
  high-dimensional Bayesian regression with shrinkage priors
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
78
14
0
09 Dec 2020
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with
  State-Dependent Event Rates
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates
T. S. Kleppe
56
12
0
04 May 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum
  under Heavy-Tailed Gradient Noise
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Simsekli
Lingjiong Zhu
Yee Whye Teh
Mert Gurbuzbalaban
90
50
0
13 Feb 2020
Conformal Symplectic and Relativistic Optimization
Conformal Symplectic and Relativistic Optimization
G. Francca
Jeremias Sulam
Daniel P. Robinson
René Vidal
119
69
0
11 Mar 2019
Accelerating MCMC Algorithms
Accelerating MCMC Algorithms
Christian P. Robert
Victor Elvira
Nicholas G. Tawn
Changye Wu
107
141
0
08 Apr 2018
Unbiased Hamiltonian Monte Carlo with couplings
Unbiased Hamiltonian Monte Carlo with couplings
J. Heng
Pierre E. Jacob
102
64
0
01 Sep 2017
Unbiased Markov chain Monte Carlo with couplings
Unbiased Markov chain Monte Carlo with couplings
Pierre E. Jacob
J. O'Leary
Yves F. Atchadé
132
73
0
11 Aug 2017
Modified Hamiltonian Monte Carlo for Bayesian inference
Modified Hamiltonian Monte Carlo for Bayesian inference
Tijana Radivojević
E. Akhmatskaya
119
31
0
13 Jun 2017
On the convergence of Hamiltonian Monte Carlo
On the convergence of Hamiltonian Monte Carlo
Alain Durmus
Eric Moulines
E. Saksman
99
70
0
29 Apr 2017
Recycling intermediate steps to improve Hamiltonian Monte Carlo
Recycling intermediate steps to improve Hamiltonian Monte Carlo
A. Nishimura
David B. Dunson
62
10
0
21 Nov 2015
Geometric ergodicity of the Random Walk Metropolis with
  position-dependent proposal covariance
Geometric ergodicity of the Random Walk Metropolis with position-dependent proposal covariance
Samuel Livingstone
183
11
0
21 Jul 2015
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