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1808.04299
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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
B. Leimkuhler
Daniel Paulin
P. Whalley
23
5
0
14 Jun 2023
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
Simon Apers
S. Gribling
Dániel Szilágyi
31
10
0
26 Sep 2022
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
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
Augustin Chevallier
F. Cazals
Paul Fearnhead
14
13
0
18 Feb 2022
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
L^2
L
2
-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
P. Holderrieth
19
10
0
20 Oct 2019
Coupling and Convergence for Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
Raphael Zimmer
77
136
0
01 May 2018
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
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
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