The Hardness of Conditional Independence Testing and the Generalised Covariance Measure

19 April 2018

Papers citing "The Hardness of Conditional Independence Testing and the Generalised Covariance Measure"

22 / 22 papers shown

Title
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 58 0 0 24 Feb 2025
Statistical Inference in Reinforcement Learning: A Selective Survey Chengchun Shi OffRL 144 2 0 22 Feb 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 62 0 0 10 Feb 2025
SpaceTime: Causal Discovery from Non-Stationary Time Series Sarah Mameche Lénaïg Cornanguer Urmi Ninad Jilles Vreeken CML AI4TS 63 0 0 20 Jan 2025
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 104 11 0 28 Feb 2024
The Limits of Assumption-free Tests for Algorithm Performance Yuetian Luo Rina Foygel Barber 90 0 0 12 Feb 2024
The conditional permutation test for independence while controlling for confounders Thomas B. Berrett Yi Wang Rina Foygel Barber R. Samworth 65 16 0 14 Jul 2018
Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation Whitney Newey Jamie Robins 55 147 0 27 Jan 2018
Nonparametric independence testing via mutual information Thomas B. Berrett R. Samworth 43 100 0 17 Nov 2017
Symmetric Rank Covariances: a Generalised Framework for Nonparametric Measures of Dependence Luca Weihs Mathias Drton N. Meinshausen 41 62 0 18 Aug 2017
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates Sivaraman Balakrishnan Larry A. Wasserman 38 50 0 30 Jun 2017
Impossible Inference in Econometrics: Theory and Applications Marinho Bertanha Marcelo J. Moreira 27 26 0 06 Dec 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 232 37,815 0 09 Mar 2016
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 50 46 0 10 Nov 2015
Uniformity and the delta method Maximilian Kasy 21 33 0 21 Jul 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 64 961 0 06 Jan 2015
A Scalable Conditional Independence Test for Nonlinear, Non-Gaussian Data Joseph Ramsey 32 51 0 20 Jan 2014
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 120 245 0 24 Sep 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 64 506 0 31 Dec 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 64 618 0 14 Feb 2012
A Risk Comparison of Ordinary Least Squares vs Ridge Regression Paramveer S. Dhillon Dean Phillips Foster Sham Kakade L. Ungar 56 47 0 04 May 2011
Higher order influence functions and minimax estimation of nonlinear functionals J. M. Robins Lingling Li E. T. Tchetgen A. van der Vaart 82 241 0 20 May 2008