Kernel-based Tests for Joint Independence

1 March 2016

Niklas Pfister

Papers citing "Kernel-based Tests for Joint Independence"

25 / 25 papers shown

Title
Multi-Domain Causal Discovery in Bijective Causal Models Kasra Jalaldoust Saber Salehkaleybar Negar Kiyavash CML 76 0 0 30 Apr 2025
Conditional Dependence via U-Statistics Pruning Ferran de Cabrera Marc Vilà-Insa Jaume Riba 30 0 0 21 Oct 2024
Specification procedures for multivariate stable-Paretian laws for independent and for conditionally heteroskedastic data S. Meintanis John P. Nolan C. Pretorius 19 3 0 20 Oct 2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 31 1 0 29 Jul 2023
Neural Mixed Effects for Nonlinear Personalized Predictions T. Wörtwein Nicholas B. Allen Lisa B. Sheeber Randy P. Auerbach J. Cohn Louis-Philippe Morency 34 7 0 13 Jun 2023
Statistical inferences for complex dependence of multimodal imaging data Jinyuan Chang Jing He Jian Kang Mingcong Wu 36 2 0 07 Mar 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings Patric Bonnier Harald Oberhauser Zoltan Szabo 33 6 0 29 Jan 2023
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data Jin-Ting Zhang Tianming Zhu 16 2 0 03 Jan 2023
A survey of some recent developments in measures of association S. Chatterjee 19 14 0 09 Nov 2022
On the Identifiability and Estimation of Causal Location-Scale Noise Models Alexander Immer Christoph Schultheiss Julia E. Vogt Bernhard Schölkopf Peter Buhlmann Alexander Marx CML 41 32 0 13 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 32 9 0 29 Sep 2022
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data Ankur Ankan J. Textor CML 34 5 0 09 Jun 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 32 45 0 01 Apr 2022
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation Mauricio E. Gonzalez Jorge F. Silva M. Videla Marcos E. Orchard 42 10 0 27 Oct 2021
A simple and flexible test of sample exchangeability with applications to statistical genomics Alan J. Aw J. Spence Yun S. Song 19 0 0 30 Sep 2021
Grouped Feature Importance and Combined Features Effect Plot Quay Au J. Herbinger Clemens Stachl B. Bischl Giuseppe Casalicchio FAtt 45 44 0 23 Apr 2021
BEAUTY Powered BEAST Kai Zhang Zhigen Zhao Wen-Xin Zhou 29 8 0 01 Mar 2021
Testing for Normality with Neural Networks M. Simic 29 6 0 29 Sep 2020
Testing Conditional Independence via Quantile Regression Based Partial Copulas Lasse Petersen N. Hansen 19 14 0 29 Mar 2020
A new coefficient of correlation S. Chatterjee 26 249 0 23 Sep 2019
The Hellinger Correlation G. Geenens P. Lafaye De Micheaux 11 32 0 24 Oct 2018
The conditional permutation test for independence while controlling for confounders Thomas B. Berrett Yi Wang Rina Foygel Barber R. Samworth 38 16 0 14 Jul 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 36 35 0 13 Feb 2018
BET on Independence Kai Zhang 21 48 0 17 Oct 2016
A consistent test of independence based on a sign covariance related to Kendall's tau Wicher P. Bergsma A. Dassios 98 129 0 24 Jul 2010