Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees

8 June 2015

François‐Xavier Briol

Papers citing "Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees"

21 / 21 papers shown

Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 29 3 0 22 Nov 2023
An analysis of Ermakov-Zolotukhin quadrature using kernels Ayoub Belhadji 32 11 0 03 Sep 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 42 12 0 27 Jan 2023
Galactica: A Large Language Model for Science Ross Taylor Marcin Kardas Guillem Cucurull Thomas Scialom Anthony Hartshorn Elvis Saravia Andrew Poulton Viktor Kerkez Robert Stojnic ELM ReLM 46 740 0 16 Nov 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 27 20 0 09 Jun 2022
Kernel Thinning Raaz Dwivedi Lester W. Mackey 36 37 0 12 May 2021
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy L. Pronzato 48 15 0 19 Jan 2021
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 27 40 0 15 Jun 2020
Kernel interpolation with continuous volume sampling Ayoub Belhadji Rémi Bardenet P. Chainais 27 22 0 22 Feb 2020
Kernel quadrature with DPPs Ayoub Belhadji Rémi Bardenet P. Chainais 26 39 0 18 Jun 2019
Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide Models Sho Sonoda 21 0 0 02 Feb 2019
Variational Bayesian Monte Carlo Luigi Acerbi BDL 14 64 0 12 Oct 2018
Neural Conditional Gradients P. Schramowski Christian Bauckhage Kristian Kersting 16 2 0 12 Mar 2018
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 28 45 0 01 Sep 2017
Bayesian Dyadic Trees and Histograms for Regression S. V. D. Pas Veronika Rockova 40 22 0 31 Jul 2017
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
Preferential Bayesian Optimization Javier I. González Zhenwen Dai Andreas C. Damianou Neil D. Lawrence 23 110 0 12 Apr 2017
Gaussian Process Quadrature Moment Transform Jakub Prüher O. Straka 41 19 0 05 Jan 2017
Convergence guarantees for kernel-based quadrature rules in misspecified settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 31 52 0 24 May 2016
Monte Carlo with Determinantal Point Processes Rémi Bardenet A. Hardy 15 78 0 02 May 2016
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