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Subsampling MCMC - An introduction for the survey statistician
v1v2v3v4 (latest)

Subsampling MCMC - An introduction for the survey statistician

23 July 2018
M. Quiroz
M. Villani
Robert Kohn
Minh-Ngoc Tran
Khue-Dung Dang
ArXiv (abs)PDFHTML

Papers citing "Subsampling MCMC - An introduction for the survey statistician"

14 / 14 papers shown
Predictive Coresets
Predictive Coresets
Bernardo Flores
350
0
0
08 Feb 2025
General bounds on the quality of Bayesian coresets
General bounds on the quality of Bayesian coresets
Trevor Campbell
256
3
0
20 May 2024
Coreset Markov Chain Monte Carlo
Coreset Markov Chain Monte CarloInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Naitong Chen
Trevor Campbell
276
5
0
25 Oct 2023
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
448
6
0
21 Apr 2023
Bayesian inference via sparse Hamiltonian flows
Bayesian inference via sparse Hamiltonian flowsNeural Information Processing Systems (NeurIPS), 2022
Na Chen
Zuheng Xu
Trevor Campbell
347
14
0
11 Mar 2022
A subsampling approach for Bayesian model selection
A subsampling approach for Bayesian model selectionInternational Journal of Approximate Reasoning (IJAR), 2022
Jon Lachmann
G. Storvik
F. Frommlet
Aliaksadr Hubin
BDL
170
3
0
31 Jan 2022
On randomized sketching algorithms and the Tracy-Widom law
On randomized sketching algorithms and the Tracy-Widom lawStatistics and computing (Stat. Comput.), 2022
Daniel Ahfock
W. Astle
S. Richardson
262
1
0
03 Jan 2022
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum
  tomography
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomographyComputational statistics (Zeitschrift) (Comput. Stat.), 2021
The Tien Mai
183
4
0
01 Jun 2021
How To Train Your Program: a Probabilistic Programming Pattern for
  Bayesian Learning From Data
How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data
David Tolpin
263
0
0
08 May 2021
Spectral Subsampling MCMC for Stationary Multivariate Time Series with
  Applications to Vector ARTFIMA Processes
Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA ProcessesEconometrics and Statistics (ES), 2021
M. Villani
M. Quiroz
Robert Kohn
R. Salomone
AI4TS
244
10
0
05 Apr 2021
Spectral Subsampling MCMC for Stationary Time Series
Spectral Subsampling MCMC for Stationary Time SeriesInternational Conference on Machine Learning (ICML), 2019
R. Salomone
M. Quiroz
Robert Kohn
M. Villani
Minh-Ngoc Tran
AI4TS
335
14
0
30 Oct 2019
Subsampling Sequential Monte Carlo for Static Bayesian Models
Subsampling Sequential Monte Carlo for Static Bayesian Models
David Gunawan
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
420
52
0
08 May 2018
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
M. Villani
377
65
0
02 Aug 2017
The block-Poisson estimator for optimally tuned exact subsampling MCMC
The block-Poisson estimator for optimally tuned exact subsampling MCMC
M. Quiroz
Minh-Ngoc Tran
M. Villani
Robert Kohn
Khue-Dung Dang
561
27
0
27 Mar 2016
1
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