Large-Scale Kernel Methods for Independence Testing

25 June 2016

Dino Sejdinovic

Papers citing "Large-Scale Kernel Methods for Independence Testing"

39 / 39 papers shown

Title
Permutation-Free High-Order Interaction Tests Zhaolu Liu Robert L. Peach Mauricio Barahona 50 0 0 06 Jun 2025
A Unified View of Optimal Kernel Hypothesis Testing Antonin Schrab 77 3 0 10 Mar 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Yixin Ren Huatian Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 77 0 0 23 Dec 2024
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 Permutation-Free Kernel Independence Test S. Shekhar Ilmun Kim Aaditya Ramdas 68 11 0 18 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 85 12 0 08 Dec 2022
A survey of some recent developments in measures of association S. Chatterjee 50 16 0 09 Nov 2022
Asymmetric predictability in causal discovery: an information theoretic approach S. Purkayastha Peter X.-K. Song 26 0 0 26 Oct 2022
Testing independence of functional variables by an Hilbert-Schmidt independence criterion estimator Terence Kevin Manfoumbi Djonguet G. Nkiet Alban Mbina Mbina 16 7 0 23 Jun 2022
Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence' Antonin Schrab Wittawat Jitkrittum Zoltan Szabo Dino Sejdinovic Arthur Gretton 97 0 0 22 Jun 2022
Efficient Aggregated Kernel Tests using Incomplete $U$ -statistics Antonin Schrab Ilmun Kim Benjamin Guedj Arthur Gretton 111 31 0 18 Jun 2022
Testing using Privileged Information by Adapting Features with Statistical Dependence K. Kim James Tompkin 21 1 0 04 Nov 2021
Pearson Chi-squared Conditional Randomization Test Adel Javanmard M. Mehrabi 66 6 0 29 Oct 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 50 11 0 28 Oct 2021
Hybrid Random Features K. Choromanski Haoxian Chen Han Lin Yuanzhe Ma Arijit Sehanobish ... Andy Zeng Valerii Likhosherstov Dmitry Kalashnikov Vikas Sindhwani Adrian Weller 82 21 0 08 Oct 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau Jean-François Ton Javier I. González Yee Whye Teh Dino Sejdinovic CML 77 20 0 07 Jun 2021
Measuring Dependence with Matrix-based Entropy Functional Shujian Yu Francesco Alesiani Xi Yu Robert Jenssen José C. Príncipe 50 24 0 25 Jan 2021
Post-selection inference with HSIC-Lasso Tobias Freidling B. Poignard Héctor Climente-González M. Yamada 68 14 0 29 Oct 2020
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs Nabarun Deb Promit Ghosal B. Sen 509 50 0 05 Oct 2020
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method Pengzhou (Abel) Wu Kenji Fukumizu CML 96 27 0 07 Jan 2020
High-Dimensional Independence Testing via Maximum and Average Distance Correlations Cencheng Shen Yuexiao Dong 102 8 0 04 Jan 2020
The Chi-Square Test of Distance Correlation Cencheng Shen Sambit Panda Joshua T. Vogelstein 98 63 0 27 Dec 2019
Improved Concentration Bounds for Gaussian Quadratic Forms Robert E. Gallagher L. Aslett D. Steinsaltz Ryan R. Christ 16 0 0 13 Nov 2019
More Powerful Selective Kernel Tests for Feature Selection Jen Ning Lim M. Yamada Wittawat Jitkrittum Y. Terada S. Matsui Hidetoshi Shimodaira 73 9 0 14 Oct 2019
A new coefficient of correlation S. Chatterjee 109 259 0 23 Sep 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 36 0 0 06 Feb 2019
A fast algorithm for computing distance correlation A. Chaudhuri Wenhao Hu 98 66 0 26 Oct 2018
Statistical dependence: Beyond Pearson's $ρ$ D. Tjøstheim Haakon Otneim Baard Stove 61 40 0 27 Sep 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
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing Cencheng Shen Joshua T. Vogelstein 94 44 0 14 Jun 2018
Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers B. Damodaran 15 3 0 14 Apr 2018
Nonparametric independence testing via mutual information Thomas B. Berrett R. Samworth 98 102 0 17 Nov 2017
A Linear-Time Kernel Goodness-of-Fit Test Wittawat Jitkrittum Wenkai Xu Z. Szabó Kenji Fukumizu Arthur Gretton 90 104 0 22 May 2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Eric V. Strobl Kun Zhang Shyam Visweswaran BDL 75 178 0 13 Feb 2017
An Adaptive Test of Independence with Analytic Kernel Embeddings Wittawat Jitkrittum Z. Szabó Arthur Gretton 103 47 0 15 Oct 2016
Post Selection Inference with Kernels M. Yamada Yuta Umezu Kenji Fukumizu Ichiro Takeuchi 83 28 0 12 Oct 2016
Discovering and Deciphering Relationships Across Disparate Data Modalities Joshua T. Vogelstein Eric W. Bridgeford Qing Wang Carey E. Priebe Mauro Maggioni Cencheng Shen 120 39 0 16 Sep 2016
Kernel-based Tests for Joint Independence Niklas Pfister Peter Buhlmann Bernhard Schölkopf J. Peters 84 186 0 01 Mar 2016
MultiView Diffusion Maps Ofir Lindenbaum A. Yeredor Moshe Salhov Amir Averbuch 60 44 0 23 Aug 2015