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Unbiased Markov chain Monte Carlo for intractable target distributions
v1v2v3 (latest)

Unbiased Markov chain Monte Carlo for intractable target distributions

23 July 2018
Lawrence Middleton
George Deligiannidis
Arnaud Doucet
Pierre E. Jacob
ArXiv (abs)PDFHTML

Papers citing "Unbiased Markov chain Monte Carlo for intractable target distributions"

18 / 18 papers shown
Title
When are Unbiased Monte Carlo Estimators More Preferable than Biased
  Ones?
When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones?
Guanyang Wang
Jose Blanchet
Peter Glynn
88
1
0
01 Apr 2024
Unbiased time-average estimators for Markov chains
Unbiased time-average estimators for Markov chains
N. Kahalé
64
3
0
20 Sep 2022
Computing Bayes: From Then 'Til Now'
Computing Bayes: From Then 'Til Now'
G. Martin
David T. Frazier
Christian P. Robert
93
16
0
01 Aug 2022
Solving the Poisson equation using coupled Markov chains
Solving the Poisson equation using coupled Markov chains
Randal Douc
Pierre E. Jacob
Anthony Lee
Dootika Vats
108
10
0
12 Jun 2022
Unbiased Multilevel Monte Carlo methods for intractable distributions:
  MLMC meets MCMC
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC
Guanyang Wang
T. Wang
89
15
0
11 Apr 2022
The Coupled Rejection Sampler
The Coupled Rejection Sampler
Adrien Corenflos
Simo Särkkä
45
4
0
24 Jan 2022
Bounding Wasserstein distance with couplings
Bounding Wasserstein distance with couplings
N. Biswas
Lester W. Mackey
78
8
0
06 Dec 2021
Unbiased Optimal Stopping via the MUSE
Unbiased Optimal Stopping via the MUSE
Zhengqing Zhou
Guanyang Wang
Jose H. Blanchet
Peter Glynn
75
6
0
04 Jun 2021
Introducing prior information in Weighted Likelihood Bootstrap with
  applications to model misspecification
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification
E. Pompe
109
9
0
26 Mar 2021
Metropolis-Hastings transition kernel couplings
Metropolis-Hastings transition kernel couplings
J. O'Leary
Guanyang Wang
79
6
0
31 Jan 2021
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
59
14
0
09 Dec 2020
Maximal couplings of the Metropolis-Hastings algorithm
Maximal couplings of the Metropolis-Hastings algorithm
J. O'Leary
Guanyang Wang
Pierre E. Jacob
75
22
0
16 Oct 2020
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled
  Markov Chains
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Francisco J. R. Ruiz
Michalis K. Titsias
taylan. cemgil
Arnaud Doucet
BDLDRL
65
14
0
05 Oct 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
95
17
0
14 Apr 2020
Optimal unbiased estimators via convex hulls
Optimal unbiased estimators via convex hulls
N. Kahalé
89
3
0
06 Sep 2019
Estimating Convergence of Markov chains with L-Lag Couplings
Estimating Convergence of Markov chains with L-Lag Couplings
N. Biswas
Pierre E. Jacob
Paul Vanetti
58
49
0
23 May 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings
Unbiased Smoothing using Particle Independent Metropolis-Hastings
Lawrence Middleton
George Deligiannidis
Arnaud Doucet
Pierre E. Jacob
75
22
0
05 Feb 2019
Unbiased estimation of log normalizing constants with applications to
  Bayesian cross-validation
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation
M. Rischard
Pierre E. Jacob
Natesh Pillai
72
22
0
02 Oct 2018
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