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Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with
  Theoretical Guarantees

Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees

8 June 2015
François‐Xavier Briol
Chris J. Oates
Mark Girolami
Michael A. Osborne
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Papers citing "Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees"

12 / 12 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
E. De Vito
Lorenzo Rosasco
21
3
0
22 Nov 2023
An analysis of Ermakov-Zolotukhin quadrature using kernels
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
16
11
0
03 Sep 2023
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
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel
  Recombination
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
16
19
0
09 Jun 2022
Variational Bayesian Monte Carlo with Noisy Likelihoods
Variational Bayesian Monte Carlo with Noisy Likelihoods
Luigi Acerbi
22
40
0
15 Jun 2020
Kernel interpolation with continuous volume sampling
Kernel interpolation with continuous volume sampling
Ayoub Belhadji
Rémi Bardenet
P. Chainais
11
22
0
22 Feb 2020
Fast Approximation and Estimation Bounds of Kernel Quadrature for
  Infinitely Wide Models
Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide Models
Sho Sonoda
11
0
0
02 Feb 2019
Bayesian Dyadic Trees and Histograms for Regression
Bayesian Dyadic Trees and Histograms for Regression
S. V. D. Pas
Veronika Rockova
24
22
0
31 Jul 2017
On the Sampling Problem for Kernel Quadrature
On the Sampling Problem for Kernel Quadrature
François‐Xavier Briol
Chris J. Oates
Jon Cockayne
W. Chen
Mark Girolami
23
29
0
11 Jun 2017
Gaussian Process Quadrature Moment Transform
Gaussian Process Quadrature Moment Transform
Jakub Prüher
O. Straka
33
19
0
05 Jan 2017
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
21
52
0
24 May 2016
Probabilistic Integration: A Role in Statistical Computation?
Probabilistic Integration: A Role in Statistical Computation?
François‐Xavier Briol
Chris J. Oates
Mark Girolami
Michael A. Osborne
Dino Sejdinovic
21
50
0
03 Dec 2015
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