Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

13 February 2017

Papers citing "Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery"

33 / 33 papers shown

Title
RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization Haiyang Shen Hang Yan Zhongshi Xing Mugeng Liu Yue Li Zhi Chen Yuping Wang Jiuzheng Wang Yun Ma SyDa 19 0 0 16 May 2025
Conditional Dependence via U-Statistics Pruning Ferran de Cabrera Marc Vilà-Insa Jaume Riba 28 0 0 21 Oct 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 34 1 0 13 Jun 2024
Generalized Fake Audio Detection via Deep Stable Learning Zhiyong Wang Ruibo Fu Zhengqi Wen Yuankun Xie Yukun Liu ... Yongwei Li Jianhua Tao Yi Lu Xin Qi Shuchen Shi 37 7 0 05 Jun 2024
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out Tristan Piater Niklas Penzel Gideon Stein Joachim Denzler 39 2 0 18 Apr 2024
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 44 8 0 28 Feb 2024
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data Mugariya Farooq Shahad Hardan Aigerim Zhumbhayeva Yu Zheng Preslav Nakov Anton van den Hengel CML 19 1 0 28 May 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 33 24 0 27 Mar 2023
Causal Razors Wai-yin Lam CML 16 0 0 20 Feb 2023
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests Erica Cai A. Mcgregor David D. Jensen CML 29 1 0 12 Nov 2022
A survey of some recent developments in measures of association S. Chatterjee 16 14 0 09 Nov 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 31 6 0 04 Sep 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 53 33 0 25 May 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 32 29 0 18 Mar 2022
Local permutation tests for conditional independence Ilmun Kim Matey Neykov Sivaraman Balakrishnan Larry A. Wasserman 31 27 0 22 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 29 97 0 07 Dec 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 28 10 0 28 Oct 2021
On Azadkia-Chatterjee's conditional dependence coefficient Hongjian Shi Mathias Drton Fang Han 32 30 0 15 Aug 2021
Obtaining Causal Information by Merging Datasets with MAXENT Sergio Hernan Garrido Mejia Elke Kirschbaum Dominik Janzing CML 18 9 0 15 Jul 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 36 12 0 22 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 28 39 0 10 Jun 2020
A simple measure of conditional dependence Mona Azadkia S. Chatterjee 21 125 0 27 Oct 2019
A Bayesian nonparametric test for conditional independence Onur Teymur Sarah Filippi 27 3 0 24 Oct 2019
Conditional Independence Testing using Generative Adversarial Networks Alexis Bellot M. Schaar CML GAN 26 51 0 09 Jul 2019
Causal Discovery Toolbox: Uncover causal relationships in Python Diviyan Kalainathan Olivier Goudet CML 22 82 0 06 Mar 2019
Testing Conditional Independence in Supervised Learning Algorithms David S. Watson Marvin N. Wright CML 29 52 0 28 Jan 2019
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 16 17 0 28 Jan 2019
The conditional permutation test for independence while controlling for confounders Thomas B. Berrett Yi Wang Rina Foygel Barber R. Samworth 35 16 0 14 Jul 2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing Rajat Sen Karthikeyan Shanmugam Himanshu Asnani Arman Rahimzamani Sreeram Kannan CML VLM 13 16 0 25 Jun 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 24 93 0 13 Mar 2018
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information Jakob Runge 19 166 0 05 Sep 2017
Learning non-parametric Markov networks with mutual information Janne Leppä-aho Santeri Räisänen Xiao Yang Teemu Roos 16 2 0 08 Aug 2017