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Metropolis-Hastings transition kernel couplings
v1v2v3v4v5v6 (latest)

Metropolis-Hastings transition kernel couplings

Annales De L Institut Henri Poincare-probabilites Et Statistiques (IHPES), 2021
31 January 2021
J. O'Leary
Guanyang Wang
ArXiv (abs)PDFHTML

Papers citing "Metropolis-Hastings transition kernel couplings"

3 / 3 papers shown
Gradient Estimation via Differentiable Metropolis-Hastings
Gradient Estimation via Differentiable Metropolis-Hastings
Gaurav Arya
Moritz Schauer
Ruben Seyer
OTBDL
270
0
0
20 Jun 2024
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
277
1
0
01 Apr 2024
Unbiased Multilevel Monte Carlo methods for intractable distributions:
  MLMC meets MCMC
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMCJournal of machine learning research (JMLR), 2022
Guanyang Wang
T. Wang
366
17
0
11 Apr 2022
1
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