Characteristic and Universal Tensor Product Kernels

28 August 2017

Papers citing "Characteristic and Universal Tensor Product Kernels"

20 / 20 papers shown

Title
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 36 0 0 10 Sep 2024
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
A nonparametric test for elliptical distribution based on kernel embedding of probabilities Yin Tang Bing Li 30 0 0 18 Jun 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings Patric Bonnier Harald Oberhauser Zoltan Szabo 35 6 0 29 Jan 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 46 0 0 26 Jan 2023
Second-level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium-cooled fast reactor Anouar Meynaoui A. Marrel Béatrice Laurent 30 4 0 21 Dec 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 30 17 0 21 Oct 2022
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection Florian Kalinke Marco Heyden Edouard Fouché Klemens Bohm Klemens Böhm 29 0 0 25 May 2022
Learning Invariant Representations with Missing Data Mark Goldstein J. Jacobsen O. Chau A. Saporta A. Puli Rajesh Ranganath Andrew C. Miller OOD 25 5 0 01 Dec 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 28 10 0 28 Oct 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 26 16 0 18 Oct 2021
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings Ambrus Tamás Balázs Csanád Csáji 33 4 0 08 Mar 2021
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski Z. Szabó 28 22 0 26 May 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 25 101 0 26 Feb 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 35 78 0 10 Feb 2020
New statistical methodology for second level global sensitivity analysis Anouar Meynaoui A. Marrel Béatrice Laurent 32 14 0 19 Feb 2019
RetGK: Graph Kernels based on Return Probabilities of Random Walks Zhen Zhang Mianzhi Wang Yijian Xiang Yuanmin Huang A. Nehorai 14 105 0 07 Sep 2018
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 112 324 0 09 Feb 2016
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 185 2,578 0 28 Mar 2008