Convergence guarantees for kernel-based quadrature rules in misspecified settings

24 May 2016

Papers citing "Convergence guarantees for kernel-based quadrature rules in misspecified settings"

9 / 9 papers shown

Title
Nonlinear functional regression by functional deep neural network with kernel embedding Zhongjie Shi Jun Fan Linhao Song Ding-Xuan Zhou Johan A. K. Suykens 65 5 0 05 Jan 2024
Interpolation with the polynomial kernels G. Elefante W. Erb Francesco Marchetti E. Perracchione D. Poggiali G. Santin 24 1 0 15 Dec 2022
Kernel interpolation with continuous volume sampling Ayoub Belhadji Rémi Bardenet P. Chainais 18 22 0 22 Feb 2020
On the positivity and magnitudes of Bayesian quadrature weights Toni Karvonen Motonobu Kanagawa Simo Särkkä 11 12 0 20 Dec 2018
Improved Calibration of Numerical Integration Error in Sigma-Point Filters Jakub Prüher Toni Karvonen Chris J. Oates O. Straka Simo Särkkä 16 8 0 28 Nov 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 34 13 0 23 Feb 2018
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
Bayesian Probabilistic Numerical Methods Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 19 164 0 13 Feb 2017
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