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1507.06110
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Speeding Up MCMC by Delayed Acceptance and Data Subsampling
22 July 2015
M. Quiroz
Minh-Ngoc Tran
M. Villani
Robert Kohn
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Papers citing
"Speeding Up MCMC by Delayed Acceptance and Data Subsampling"
26 / 26 papers shown
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
International Statistical Review (ISR), 2021
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
637
18
0
03 Jan 2025
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models
Physica Scripta (Phys. Scr.), 2024
Sohail Reddy
Hillary R. Fairbanks
211
2
0
18 May 2024
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Callum Vyner
Christopher Nemeth
Chris Sherlock
268
28
0
08 Aug 2022
Computing Bayes: From Then 'Til Now'
Statistical Science (Statist. Sci.), 2022
G. Martin
David T. Frazier
Christian P. Robert
371
18
0
01 Aug 2022
Accelerating inference for stochastic kinetic models
Computational Statistics & Data Analysis (CSDA), 2022
Tom Lowe
Andrew Golightly
Chris Sherlock
324
6
0
06 Jun 2022
Approximating Bayes in the 21st Century
Statistical Science (Statist. Sci.), 2021
G. Martin
David T. Frazier
Christian P. Robert
283
29
0
20 Dec 2021
Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes
Econometrics and Statistics (ES), 2021
M. Villani
M. Quiroz
Robert Kohn
R. Salomone
AI4TS
235
10
0
05 Apr 2021
Randomized Reduced Forward Models for Efficient Metropolis--Hastings MCMC, with Application to Subsurface Fluid Flow and Capacitance Tomography
C. Fox
Tiangang Cui
M. Neumayer
235
3
0
17 Sep 2020
Accelerating sequential Monte Carlo with surrogate likelihoods
Statistics and computing (Stat. Comput.), 2020
Joshua J. Bon
Anthony Lee
Christopher C. Drovandi
354
17
0
08 Sep 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
418
20
0
14 Apr 2020
Flexible Bayesian Nonlinear Model Configuration
Journal of Artificial Intelligence Research (JAIR), 2020
A. Hubin
G. Storvik
F. Frommlet
BDL
243
9
0
05 Mar 2020
Spectral Subsampling MCMC for Stationary Time Series
International Conference on Machine Learning (ICML), 2019
R. Salomone
M. Quiroz
Robert Kohn
M. Villani
Minh-Ngoc Tran
AI4TS
325
14
0
30 Oct 2019
Forecasting observables with particle filters: Any filter will do!
Patrick Leung
Catherine S. Forbes
G. Martin
Brendan P. M. McCabe
AI4TS
218
0
0
20 Aug 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
R. Cornish
Paul Vanetti
Alexandre Bouchard-Côté
George Deligiannidis
Arnaud Doucet
315
21
0
28 Jan 2019
New models for symbolic data analysis
B. Beranger
Huan-xiang Lin
Scott A. Sisson
382
30
0
11 Sep 2018
Subsampling MCMC - An introduction for the survey statistician
M. Quiroz
M. Villani
Robert Kohn
Minh-Ngoc Tran
Khue-Dung Dang
323
24
0
23 Jul 2018
An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics
Liangliang Wang
Shijia Wang
Alexandre Bouchard-Côté
224
38
0
22 Jun 2018
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
Samuel Wiqvist
Umberto Picchini
J. Forman
Kresten Lindorff-Larsen
Wouter Boomsma
243
8
0
15 Jun 2018
Efficient MCMC for Gibbs Random Fields using pre-computation
A. Boland
Nial Friel
Florian Maire
354
20
0
11 Oct 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
M. Villani
363
65
0
02 Aug 2017
Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance
Jordan Franks
M. Vihola
443
17
0
29 Jun 2017
Variance bounding of delayed-acceptance kernels
Methodology and Computing in Applied Probability (MCAP), 2017
Chris Sherlock
Anthony Lee
550
4
0
07 Jun 2017
The block-Poisson estimator for optimally tuned exact subsampling MCMC
M. Quiroz
Minh-Ngoc Tran
M. Villani
Robert Kohn
Khue-Dung Dang
545
27
0
27 Mar 2016
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
Chris Sherlock
Andrew Golightly
D. Henderson
341
58
0
01 Sep 2015
Efficiency of delayed-acceptance random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Andrew Golightly
301
16
0
26 Jun 2015
Speeding Up MCMC by Efficient Data Subsampling
Journal of the American Statistical Association (JASA), 2014
M. Quiroz
Robert Kohn
M. Villani
Minh-Ngoc Tran
479
181
0
16 Apr 2014
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