v1v2 (latest)

Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings

1 September 2017

Motonobu Kanagawa

Bharath K. Sriperumbudur

Kenji Fukumizu

ArXiv (abs)PDF HTML

Papers citing "Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings"

31 / 31 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 122 2 0 26 Apr 2025
Nested Expectations with Kernel Quadrature Zonghao Chen Masha Naslidnyk F. Briol 67 2 0 25 Feb 2025
Conditional Bayesian Quadrature Zonghao Chen Masha Naslidnyk Arthur Gretton F. Briol TPM 84 3 0 24 Jun 2024
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting Masaki Adachi Satoshi Hayakawa Martin Jørgensen Saad Hamid Harald Oberhauser Michael A. Osborne GP 68 3 0 18 Apr 2024
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control Wenhan Cao Wei Pan 58 0 0 27 Feb 2024
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
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 167 7 0 20 Jul 2023
Bayesian Numerical Integration with Neural Networks Katharina Ott Michael Tiemann Philipp Hennig F. Briol BDL 58 3 0 22 May 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 127 15 0 27 Jan 2023
Interpolation with the polynomial kernels G. Elefante W. Erb Francesco Marchetti E. Perracchione D. Poggiali G. Santin 80 1 0 15 Dec 2022
Error analysis for a statistical finite element method Toni Karvonen F. Cirak Mark Girolami 17 4 0 19 Jan 2022
Positively Weighted Kernel Quadrature via Subsampling Satoshi Hayakawa Harald Oberhauser Terry Lyons 105 26 0 20 Jul 2021
Sparse solutions of the kernel herding algorithm by improved gradient approximation Kazuma Tsuji Ken’ichiro Tanaka 56 0 0 17 May 2021
Deep Bayesian Quadrature Policy Optimization Akella Ravi Tej Kamyar Azizzadenesheli Mohammad Ghavamzadeh Anima Anandkumar Yisong Yue 48 5 0 28 Jun 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models Harrison Zhu Xing Liu Ruya Kang Zhichao Shen Seth Flaxman F. Briol TPM 42 5 0 09 Jun 2020
Bayesian ODE Solvers: The Maximum A Posteriori Estimate Filip Tronarp Simo Sarkka Philipp Hennig 101 42 0 01 Apr 2020
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions Toni Karvonen George Wynne Filip Tronarp Chris J. Oates Simo Särkkä 104 39 0 29 Jan 2020
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness George Wynne F. Briol Mark Girolami 82 56 0 29 Jan 2020
Geometric Rates of Convergence for Kernel-based Sampling Algorithms Rajiv Khanna Liam Hodgkinson Michael W. Mahoney 39 2 0 19 Jul 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods Motonobu Kanagawa Philipp Hennig 87 36 0 24 May 2019
Automated Model Selection with Bayesian Quadrature Henry Chai Jean-François Ton Roman Garnett Michael A. Osborne 80 11 0 26 Feb 2019
On the positivity and magnitudes of Bayesian quadrature weights Toni Karvonen Motonobu Kanagawa Simo Särkkä 56 14 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 57 9 0 28 Nov 2018
Symmetry Exploits for Bayesian Cubature Methods Toni Karvonen Simo Särkkä Chris J. Oates 70 15 0 26 Sep 2018
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation Anastasis Kratsios Cody B. Hyndman OOD 69 17 0 31 Aug 2018
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 151 344 0 06 Jul 2018
Improving Quadrature for Constrained Integrands Henry Chai Roman Garnett TPM 79 27 0 13 Feb 2018
Bayesian Quadrature for Multiple Related Integrals Xiaoyue Xi François‐Xavier Briol Mark Girolami 108 39 0 12 Jan 2018
Fully symmetric kernel quadrature Toni Karvonen Simo Särkkä 71 28 0 18 Mar 2017
Probabilistic Integration: A Role in Statistical Computation? François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 115 53 0 03 Dec 2015
Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models Yu Nishiyama Motonobu Kanagawa Arthur Gretton Kenji Fukumizu 105 3 0 18 Sep 2014