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Unbiased estimation of log normalizing constants with applications to
  Bayesian cross-validation

Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation

2 October 2018
M. Rischard
Pierre E. Jacob
Natesh Pillai
ArXiv (abs)PDFHTML

Papers citing "Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation"

13 / 13 papers shown
Title
Robust leave-one-out cross-validation for high-dimensional Bayesian
  models
Robust leave-one-out cross-validation for high-dimensional Bayesian models
Luca Silva
Giacomo Zanella
40
8
0
19 Sep 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
Multilevel Estimation of Normalization Constants Using the Ensemble
  Kalman-Bucy Filter
Multilevel Estimation of Normalization Constants Using the Ensemble Kalman-Bucy Filter
Hamza Ruzayqat
Neil K. Chada
Ajay Jasra
72
5
0
09 Aug 2021
Parallel Tempering on Optimized Paths
Parallel Tempering on Optimized Paths
Saifuddin Syed
Vittorio Romaniello
Trevor Campbell
Alexandre Bouchard-Côté
38
21
0
15 Feb 2021
Adaptive Path Sampling in Metastable Posterior Distributions
Adaptive Path Sampling in Metastable Posterior Distributions
Yuling Yao
Collin Cademartori
Aki Vehtari
Andrew Gelman
TPM
64
6
0
01 Sep 2020
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
132
68
0
23 Jul 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
Stochastic Normalizing Flows
Stochastic Normalizing Flows
Liam Hodgkinson
Christopher van der Heide
Fred Roosta
Michael W. Mahoney
BDL
46
1
0
21 Feb 2020
A continuation method in Bayesian inference
A continuation method in Bayesian inference
B. M. Dia
43
4
0
26 Nov 2019
Distributed Computation for Marginal Likelihood based Model Choice
Distributed Computation for Marginal Likelihood based Model Choice
Alexander K. Buchholz
Daniel Ahfock
S. Richardson
FedML
57
5
0
10 Oct 2019
Implicitly Adaptive Importance Sampling
Implicitly Adaptive Importance Sampling
Topi Paananen
Juho Piironen
Paul-Christian Bürkner
Aki Vehtari
30
3
0
20 Jun 2019
On the marginal likelihood and cross-validation
On the marginal likelihood and cross-validation
Edwin Fong
Chris Holmes
UQCV
119
111
0
21 May 2019
Unbiased Markov chain Monte Carlo with couplings
Unbiased Markov chain Monte Carlo with couplings
Pierre E. Jacob
J. O'Leary
Yves F. Atchadé
126
73
0
11 Aug 2017
1