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Kernel-based Tests for Joint Independence

1 March 2016

Niklas Pfister

Papers citing "Kernel-based Tests for Joint Independence"

50 / 54 papers shown

Title
Permutation-Free High-Order Interaction Tests Zhaolu Liu Robert L. Peach Mauricio Barahona 50 0 0 06 Jun 2025
Kernel Density Machines Damir Filipović P. Schneider 83 0 0 30 Apr 2025
Conditional Dependence via U-Statistics Pruning Ferran de Cabrera Marc Vilà-Insa Jaume Riba 83 0 0 21 Oct 2024
Tests for categorical data beyond Pearson: A distance covariance and energy distance approach Fernando Castro-Prado W. González-Manteiga Javier Costas Fernando Facal Dominic Edelmann 19 1 0 19 Mar 2024
Assessing the overall and partial causal well-specification of nonlinear additive noise models Christoph Schultheiss Peter Bühlmann CML 100 1 0 25 Oct 2023
Specification procedures for multivariate stable-Paretian laws for independent and for conditionally heteroskedastic data S. Meintanis John P. Nolan C. Pretorius 124 3 0 20 Oct 2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 112 1 0 29 Jul 2023
Causal Discovery via Conditional Independence Testing with Proxy Variables Mingzhou Liu Xinwei Sun Yu Qiao Yizhou Wang CML 46 2 0 09 May 2023
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data Jin-Ting Zhang Tianming Zhu 22 2 0 03 Jan 2023
A survey of some recent developments in measures of association S. Chatterjee 50 16 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 107 36 0 13 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 83 10 0 29 Sep 2022
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data Ankur Ankan J. Textor CML 77 5 0 09 Jun 2022
Smart Channel State Information Pre-processing for Joint Authentication and Secret Key Distillation M. Srinivasan Sotiris Skaperas A. Chorti Mahdi Shakiba-Herfeh M. K. Shehzad P. Sehier 26 1 0 01 Jun 2022
Evaluating Independence and Conditional Independence Measures Jian Ma 39 3 0 15 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Exploiting Independent Instruments: Identification and Distribution Generalization Sorawit Saengkyongam Leonard Henckel Niklas Pfister J. Peters 76 18 0 03 Feb 2022
Pearson Chi-squared Conditional Randomization Test Adel Javanmard M. Mehrabi 66 6 0 29 Oct 2021
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 62 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 27 0 0 30 Sep 2021
Grouped Feature Importance and Combined Features Effect Plot Quay Au J. Herbinger Clemens Stachl B. Bischl Giuseppe Casalicchio FAtt 96 47 0 23 Apr 2021
BEAUTY Powered BEAST Kai Zhang Zhigen Zhao Wen-Xin Zhou 50 8 0 01 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 155 322 0 22 Feb 2021
An AUK-based index for measuring and testing the joint dependence of a random vector G. Afendras M. Markatou A. Vexler 33 0 0 24 Nov 2020
Testing for Normality with Neural Networks M. Simic 54 6 0 29 Sep 2020
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies D. Fryer Inga Strümke Hien Nguyen TDI FAtt 49 7 0 12 Jul 2020
A Kernel Two-sample Test for Dynamical Systems Friedrich Solowjow Dominik Baumann Christian Fiedler Andreas J. Jocham Thomas Seel Sebastian Trimpe 110 11 0 23 Apr 2020
Testing Conditional Independence via Quantile Regression Based Partial Copulas Lasse Petersen N. Hansen 88 14 0 29 Mar 2020
Information Condensing Active Learning Siddhartha Jain Ge Liu David K Gifford VLM 67 2 0 18 Feb 2020
Optimal rates for independence testing via $U$ -statistic permutation tests Thomas B. Berrett Ioannis Kontoyiannis R. Samworth 55 26 0 15 Jan 2020
The Binary Expansion Randomized Ensemble Test (BERET) Duyeol Lee Kai Zhang Michael R. Kosorok 23 6 0 08 Dec 2019
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 106 465 0 24 Nov 2019
A New Framework for Distance and Kernel-based Metrics in High Dimensions Shubhadeep Chakraborty Xianyang Zhang 49 32 0 30 Sep 2019
A new coefficient of correlation S. Chatterjee 109 259 0 23 Sep 2019
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives Tong Li M. Yuan 52 44 0 07 Sep 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs Zinan Lin K. K. Thekumparampil Giulia Fanti Sewoong Oh DRL 110 37 0 14 Jun 2019
Multivariate Ranks and Quantiles using Optimal Transport: Consistency, Rates, and Nonparametric Testing Promit Ghosal B. Sen 81 60 0 14 May 2019
Some New Copula Based Distribution-free Tests of Independence among Several Random Variables Angshuman Roy A. Ghosh A. Goswami C. A. Murthy 23 10 0 19 Mar 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 36 0 0 06 Feb 2019
High dimensional consistent independence testing with maxima of rank correlations Mathias Drton Fang Han Hongjian Shi 76 43 0 14 Dec 2018
A fast algorithm for computing distance correlation A. Chaudhuri Wenhao Hu 98 66 0 26 Oct 2018
The Hellinger Correlation G. Geenens P. Lafaye De Micheaux 94 32 0 24 Oct 2018
Statistical dependence: Beyond Pearson's $ρ$ D. Tjøstheim Haakon Otneim Baard Stove 61 40 0 27 Sep 2018
The conditional permutation test for independence while controlling for confounders Thomas B. Berrett Yi Wang Rina Foygel Barber R. Samworth 107 16 0 14 Jul 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
Multiscale Fisher's Independence Test for Multivariate Dependence S. Gorsky L. Ma 25 8 0 18 Jun 2018
Information Constraints on Auto-Encoding Variational Bayes Romain Lopez Jeffrey Regier Michael I. Jordan N. Yosef BDL 108 124 0 22 May 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 208 36 0 13 Feb 2018
Distance multivariance: New dependence measures for random vectors Bjorn Bottcher Martin Keller-Ressel R. Schilling 50 32 0 21 Nov 2017
Nonparametric independence testing via mutual information Thomas B. Berrett R. Samworth 98 102 0 17 Nov 2017