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Control Functionals for Quasi-Monte Carlo Integration
v1v2v3v4v5v6v7 (latest)

Control Functionals for Quasi-Monte Carlo Integration

14 January 2015
Chris J. Oates
Mark Girolami
ArXiv (abs)PDFHTML

Papers citing "Control Functionals for Quasi-Monte Carlo Integration"

13 / 13 papers shown
Title
Meta-learning Control Variates: Variance Reduction with Limited Data
Meta-learning Control Variates: Variance Reduction with Limited Data
Z. Sun
Chris J. Oates
F. Briol
BDL
94
9
0
08 Mar 2023
KSD Aggregated Goodness-of-fit Test
KSD Aggregated Goodness-of-fit Test
Antonin Schrab
Benjamin Guedj
Arthur Gretton
115
19
0
02 Feb 2022
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
Arthur Gretton
F. Briol
T. Fernandez
122
16
0
19 Nov 2021
Kernel interpolation with continuous volume sampling
Kernel interpolation with continuous volume sampling
Ayoub Belhadji
Rémi Bardenet
P. Chainais
54
23
0
22 Feb 2020
Quasi-Monte Carlo Variational Inference
Quasi-Monte Carlo Variational Inference
Alexander K. Buchholz
F. Wenzel
Stephan Mandt
BDL
105
60
0
04 Jul 2018
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in
  Misspecified Settings
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
Motonobu Kanagawa
Bharath K. Sriperumbudur
Kenji Fukumizu
87
45
0
01 Sep 2017
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
171
223
0
06 Mar 2017
Measuring Sample Quality with Diffusions
Measuring Sample Quality with Diffusions
Jackson Gorham
Andrew B. Duncan
Sandra Jeanne Vollmer
Lester W. Mackey
124
117
0
21 Nov 2016
Poisson intensity estimation with reproducing kernels
Poisson intensity estimation with reproducing kernels
Seth Flaxman
Yee Whye Teh
Dino Sejdinovic
103
48
0
27 Oct 2016
Reducing the error of Monte Carlo Algorithms by Learning Control
  Variates
Reducing the error of Monte Carlo Algorithms by Learning Control Variates
Brendan D. Tracey
David Wolpert
BDL
34
9
0
07 Jun 2016
Convergence guarantees for kernel-based quadrature rules in misspecified
  settings
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Motonobu Kanagawa
Bharath K. Sriperumbudur
Kenji Fukumizu
193
52
0
24 May 2016
Monte Carlo with Determinantal Point Processes
Monte Carlo with Determinantal Point Processes
Rémi Bardenet
A. Hardy
54
79
0
02 May 2016
Convergence Rates for a Class of Estimators Based on Stein's Method
Convergence Rates for a Class of Estimators Based on Stein's Method
Chris J. Oates
Jon Cockayne
F. Briol
Mark Girolami
83
57
0
10 Mar 2016
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