Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding

10 March 2025

Papers citing "Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding"

9 / 9 papers shown

Title
Testing Closeness of Multivariate Distributions via Ramsey Theory Ilias Diakonikolas Daniel M. Kane Sihan Liu 62 3 0 22 Nov 2023
Active Structure Learning of Causal DAGs via Directed Clique Tree C. Squires Sara Magliacane Kristjan Greenewald Dmitriy A. Katz Murat Kocaoglu Karthikeyan Shanmugam CML 102 34 0 01 Nov 2020
Minimax Optimal Estimation of KL Divergence for Continuous Distributions Puning Zhao Lifeng Lai 52 20 0 26 Feb 2020
Cost-Optimal Learning of Causal Graphs Murat Kocaoglu A. Dimakis S. Vishwanath CML 98 68 0 08 Mar 2017
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios M. Noshad Kevin R. Moon Salimeh Yasaei Sekeh Alfred Hero 58 45 0 17 Feb 2017
Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam Murat Kocaoglu A. Dimakis S. Vishwanath CML 99 106 0 30 Oct 2015
Optimal Algorithms and Lower Bounds for Testing Closeness of Structured Distributions Ilias Diakonikolas D. Kane Vladimir Nikishkin 47 48 0 22 Aug 2015
Almost Optimal Intervention Sets for Causal Discovery F. Eberhardt CML 105 59 0 13 Jun 2012
Goodness-of-fit Tests for high-dimensional Gaussian linear models Nicolas Verzélen Fanny Villers 133 35 0 14 Nov 2007