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Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy
  Particle Sampler and Dimension-Free Convergence Rates

Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates

13 August 2018
George Deligiannidis
Daniel Paulin
Alexandre Bouchard-Coté
Arnaud Doucet
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Papers citing "Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates"

12 / 12 papers shown
Title
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin
  Integrators
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
B. Leimkuhler
Daniel Paulin
P. Whalley
23
5
0
14 Jun 2023
Contraction and Convergence Rates for Discretized Kinetic Langevin
  Dynamics
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
B. Leimkuhler
Daniel Paulin
P. Whalley
32
16
0
21 Feb 2023
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random
  steps
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps
Simon Apers
S. Gribling
Dániel Szilágyi
31
10
0
26 Sep 2022
Stereographic Markov Chain Monte Carlo
Stereographic Markov Chain Monte Carlo
Jun Yang
K. Latuszyñski
Gareth O. Roberts
33
13
0
24 May 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to
  Hamiltonian Monte Carlo
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo
L. Riou-Durand
Jure Vogrinc
18
14
0
26 Feb 2022
Efficient computation of the volume of a polytope in high-dimensions
  using Piecewise Deterministic Markov Processes
Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
Augustin Chevallier
F. Cazals
Paul Fearnhead
14
13
0
18 Feb 2022
HMC and underdamped Langevin united in the unadjusted convex smooth case
HMC and underdamped Langevin united in the unadjusted convex smooth case
Nicolai Gouraud
Pierre Le Bris
Adrien Majka
Pierre Monmarché
20
10
0
02 Feb 2022
On explicit $L^2$-convergence rate estimate for piecewise deterministic
  Markov processes in MCMC algorithms
On explicit L2L^2L2-convergence rate estimate for piecewise deterministic Markov processes in MCMC algorithms
Jianfeng Lu
Lihan Wang
22
27
0
29 Jul 2020
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain
  Monte Carlo
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain Monte Carlo
P. Holderrieth
19
10
0
20 Oct 2019
Coupling and Convergence for Hamiltonian Monte Carlo
Coupling and Convergence for Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
Raphael Zimmer
77
136
0
01 May 2018
Generalized Bouncy Particle Sampler
Generalized Bouncy Particle Sampler
Changye Wu
Christian P. Robert
25
25
0
15 Jun 2017
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
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