Convergence Guarantees for Adaptive Bayesian Quadrature Methods

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Convergence Guarantees for Adaptive Bayesian Quadrature Methods

24 May 2019

Motonobu Kanagawa

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Papers citing "Convergence Guarantees for Adaptive Bayesian Quadrature Methods"

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Title
Nested Expectations with Kernel Quadrature Zonghao Chen Masha Naslidnyk F. Briol 67 2 0 25 Feb 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 165 14 0 03 Jan 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 70 5 0 22 Nov 2023
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 73 20 0 09 Jun 2022
Invariant Priors for Bayesian Quadrature Masha Naslidnyk Javier I. González Maren Mahsereci 51 2 0 02 Dec 2021
Bayesian Quadrature on Riemannian Data Manifolds Christian Frohlich A. Gessner Philipp Hennig Bernhard Schölkopf Georgios Arvanitidis 60 4 0 12 Feb 2021
Locally induced Gaussian processes for large-scale simulation experiments D. Cole R. Christianson R. Gramacy 74 21 0 28 Aug 2020
Q-NET: A Network for Low-Dimensional Integrals of Neural Proxies Kartic Subr 17 0 0 25 Jun 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 102 42 0 15 Jun 2020
Adaptive quadrature schemes for Bayesian inference via active learning F. Llorente Luca Martino Victor Elvira D. Delgado J. Lopez-Santiago 86 18 0 31 May 2020