Optimal quantisation of probability measures using maximum mean
discrepancy

v1v2v3v4 (latest)

Optimal quantisation of probability measures using maximum mean discrepancy

14 October 2020

ArXiv (abs)PDF HTML

Papers citing "Optimal quantisation of probability measures using maximum mean discrepancy"

17 / 17 papers shown

Title
Stationary MMD Points for Cubature Zonghao Chen Toni Karvonen Heishiro Kanagawa F. Briol Chris J. Oates 64 0 0 27 May 2025
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
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 113 5 0 09 Jun 2023
Stein $Π$ -Importance Sampling Congye Wang Ye Chen Heishiro Kanagawa Chris J. Oates 91 2 0 17 May 2023
Bayes Hilbert Spaces for Posterior Approximation George Wynne 77 1 0 18 Apr 2023
Sobolev Spaces, Kernels and Discrepancies over Hyperspheres S. Hubbert Emilio Porcu Chris J. Oates Mark Girolami 61 4 0 16 Nov 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 63 10 0 28 Oct 2022
Model predictivity assessment: incremental test-set selection and accuracy evaluation E. Fekhari Bertrand Iooss Joseph Muré L. Pronzato M. Rendas 64 13 0 08 Jul 2022
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks B. Staber Sébastien Da Veiga UQCV BDL 54 3 0 08 Jun 2022
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy Cole Hawkins Alec Koppel Zheng Zhang 66 4 0 18 Jan 2022
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 72 2 0 13 Sep 2021
Sparse solutions of the kernel herding algorithm by improved gradient approximation Kazuma Tsuji Ken’ichiro Tanaka 49 0 0 17 May 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates Gesine Reinert Yvik Swan 101 35 0 07 May 2021
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 92 18 0 30 Mar 2021
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy L. Pronzato 66 15 0 19 Jan 2021
Optimal Thinning of MCMC Output M. Riabiz W. Chen Jon Cockayne P. Swietach Steven Niederer Lester W. Mackey Chris J. Oates 78 47 0 08 May 2020
A Riemann-Stein Kernel Method Alessandro Barp Christine J. Oates Emilio Porcu Mark Girolami 86 22 0 11 Oct 2018