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Semi-Exact Control Functionals From Sard's Method
v1v2v3v4 (latest)

Semi-Exact Control Functionals From Sard's Method

Biometrika (Biometrika), 2020
31 January 2020
Leah F. South
Toni Karvonen
Christopher Nemeth
Mark Girolami
Chris J. Oates
ArXiv (abs)PDFHTML

Papers citing "Semi-Exact Control Functionals From Sard's Method"

13 / 13 papers shown
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
456
6
0
26 Apr 2025
Feynman-Kac Operator Expectation Estimator
Feynman-Kac Operator Expectation Estimator
Jingyuan Li
Wei Liu
280
0
0
02 Jul 2024
Control Variates for MCMC
Control Variates for MCMC
Leah South
Matthew Sutton
211
1
0
12 Feb 2024
Meta-learning Control Variates: Variance Reduction with Limited Data
Meta-learning Control Variates: Variance Reduction with Limited DataConference on Uncertainty in Artificial Intelligence (UAI), 2023
Z. Sun
Chris J. Oates
F. Briol
BDL
376
13
0
08 Mar 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and
  Machine Learning
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine LearningStatistical Science (Statist. Sci.), 2023
Emilio Porcu
M. Bevilacqua
R. Schaback
Chris J. Oates
304
27
0
05 Mar 2023
Variance Reduction for Metropolis-Hastings Samplers
Variance Reduction for Metropolis-Hastings SamplersStatistics and computing (Stat. Comput.), 2022
Angelos N. Alexopoulos
P. Dellaportas
Michalis K. Titsias
202
4
0
04 Mar 2022
Minimum Discrepancy Methods in Uncertainty Quantification
Minimum Discrepancy Methods in Uncertainty Quantification
Chris J. Oates
222
2
0
13 Sep 2021
Positively Weighted Kernel Quadrature via Subsampling
Positively Weighted Kernel Quadrature via SubsamplingNeural Information Processing Systems (NeurIPS), 2021
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
539
29
0
20 Jul 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
Stein's Method Meets Computational Statistics: A Review of Some Recent DevelopmentsStatistical Science (Statist. Sci.), 2021
Andreas Anastasiou
Alessandro Barp
F. Briol
B. Ebner
Robert E. Gaunt
...
Qiang Liu
Lester W. Mackey
Chris J. Oates
Gesine Reinert
Yvik Swan
414
57
0
07 May 2021
Post-Processing of MCMC
Post-Processing of MCMCAnnual Review of Statistics and Its Application (ARSIA), 2021
Leah F. South
M. Riabiz
Onur Teymur
Chris J. Oates
419
21
0
30 Mar 2021
Scalable Control Variates for Monte Carlo Methods via Stochastic
  Optimization
Scalable Control Variates for Monte Carlo Methods via Stochastic OptimizationMonte Carlo and Quasi-Monte Carlo Methods (MCQMC), 2020
Shijing Si
Chris J. Oates
Andrew B. Duncan
Lawrence Carin
F. Briol
BDL
209
23
0
12 Jun 2020
Optimal Thinning of MCMC Output
Optimal Thinning of MCMC Output
M. Riabiz
W. Chen
Jon Cockayne
P. Swietach
Steven Niederer
Lester W. Mackey
Chris J. Oates
578
57
0
08 May 2020
A Riemann-Stein Kernel Method
A Riemann-Stein Kernel Method
Alessandro Barp
Christine J. Oates
Emilio Porcu
Mark Girolami
421
26
0
11 Oct 2018
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