Characteristic and Universal Tensor Product Kernels

28 August 2017

Papers citing "Characteristic and Universal Tensor Product Kernels"

43 / 43 papers shown

Title
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods Majid Mohammadi Siu Lun Chau Krikamol Muandet FAtt 18 0 0 22 May 2025
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 39 0 0 10 Sep 2024
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels Florian Kalinke Zoltan Szabo 35 0 0 12 Mar 2024
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 32 6 0 31 Oct 2023
A nonparametric test for elliptical distribution based on kernel embedding of probabilities Yin Tang Bing Li 32 0 0 18 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 30 5 0 16 Jun 2023
Kernel-based sensitivity analysis for (excursion) sets Noé Fellmann Christophette Blanchet-Scalliet C. Helbert Adrien Spagnol D. Sinoquet 35 4 0 16 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 32 6 0 05 May 2023
Dynamic Flows on Curved Space Generated by Labeled Data Xinru Hua Truyen V. Nguyen Tam Le Jose H. Blanchet Viet Anh Nguyen 46 9 0 31 Jan 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings Patric Bonnier Harald Oberhauser Zoltan Szabo 40 6 0 29 Jan 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 49 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 35 17 0 21 Oct 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 41 8 0 20 Jul 2022
Non-Parametric Inference of Relational Dependence Ragib Ahsan Zahra Fatemi David Arbour Elena Zheleva 11 1 0 30 Jun 2022
Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence' Antonin Schrab Wittawat Jitkrittum Zoltan Szabo Dino Sejdinovic Arthur Gretton 9 0 0 22 Jun 2022
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection Florian Kalinke Marco Heyden Edouard Fouché Klemens Bohm Klemens Böhm 34 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
Estimating Rényi's $α$ -Cross-Entropies in a Matrix-Based Way I. Sledge José C. Príncipe 14 0 0 24 Sep 2021
Self-Supervised Learning with Kernel Dependence Maximization Yazhe Li Roman Pogodin Danica J. Sutherland Arthur Gretton SSL 19 80 0 15 Jun 2021
Human-in-the-loop Handling of Knowledge Drift A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 22 6 0 27 Mar 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
Bandits for Learning to Explain from Explanations Freya Behrens Stefano Teso Davide Mottin FAtt 11 1 0 07 Feb 2021
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs Nabarun Deb Promit Ghosal B. Sen 93 49 0 05 Oct 2020
Identifying Causal Structure in Dynamical Systems Dominik Baumann Friedrich Solowjow Karl H. Johansson Sebastian Trimpe CML 6 10 0 06 Jun 2020
Learning Inconsistent Preferences with Gaussian Processes Siu Lun Chau Javier I. González Dino Sejdinovic 28 7 0 06 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 40 15 0 01 Jun 2020
Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski Z. Szabó 28 22 0 26 May 2020
Consistency of permutation tests for HSIC and dHSIC David Rindt Dino Sejdinovic D. Steinsaltz 12 3 0 13 May 2020
A Kernel Two-sample Test for Dynamical Systems Friedrich Solowjow Dominik Baumann Christian Fiedler Andreas J. Jocham Thomas Seel Sebastian Trimpe 8 11 0 23 Apr 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
Testing Goodness of Fit of Conditional Density Models with Kernels Wittawat Jitkrittum Heishiro Kanagawa Bernhard Schölkopf 25 27 0 24 Feb 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 35 78 0 10 Feb 2020
On Distance and Kernel Measures of Conditional Independence T. Sheng Bharath K. Sriperumbudur 11 8 0 02 Dec 2019
New statistical methodology for second level global sensitivity analysis Anouar Meynaoui A. Marrel Béatrice Laurent 35 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
Bayesian quadrature and energy minimization for space-filling design L. Pronzato A. Zhigljavsky 17 9 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 24 336 0 06 Jul 2018
Information Constraints on Auto-Encoding Variational Bayes Romain Lopez Jeffrey Regier Michael I. Jordan N. Yosef BDL 26 122 0 22 May 2018
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 112 325 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