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Optimal Thinning of MCMC Output

Optimal Thinning of MCMC Output

8 May 2020
M. Riabiz
W. Chen
Jon Cockayne
P. Swietach
Steven Niederer
Lester W. Mackey
Chris J. Oates
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Papers citing "Optimal Thinning of MCMC Output"

13 / 13 papers shown
Title
Stein Discrepancy for Unsupervised Domain Adaptation
Stein Discrepancy for Unsupervised Domain Adaptation
Anneke von Seeger
Dongmian Zou
Gilad Lerman
92
0
0
24 Feb 2025
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for
  Likelihood-Free Inference
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
40
12
0
27 Jan 2023
Targeted Separation and Convergence with Kernel Discrepancies
Targeted Separation and Convergence with Kernel Discrepancies
Alessandro Barp
Carl-Johann Simon-Gabriel
Mark Girolami
Lester W. Mackey
42
14
0
26 Sep 2022
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy
Cole Hawkins
Alec Koppel
Zheng-Wei Zhang
37
4
0
18 Jan 2022
Distribution Compression in Near-linear Time
Distribution Compression in Near-linear Time
Abhishek Shetty
Raaz Dwivedi
Lester W. Mackey
19
17
0
15 Nov 2021
Generalized Kernel Thinning
Generalized Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
36
29
0
04 Oct 2021
Minimum Discrepancy Methods in Uncertainty Quantification
Minimum Discrepancy Methods in Uncertainty Quantification
Chris J. Oates
28
2
0
13 Sep 2021
Sampling with Mirrored Stein Operators
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
45
19
0
23 Jun 2021
Kernel Stein Discrepancy Descent
Kernel Stein Discrepancy Descent
Anna Korba
Pierre-Cyril Aubin-Frankowski
Szymon Majewski
Pierre Ablin
13
50
0
20 May 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou
Alessandro Barp
F. Briol
B. Ebner
Robert E. Gaunt
...
Qiang Liu
Lester W. Mackey
Chris J. Oates
G. Reinert
Yvik Swan
22
35
0
07 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
24
74
0
15 Apr 2021
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
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