Identifying Patient-Specific Root Causes with the Heteroscedastic Noise
Model

Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model

25 May 2022

Thomas A. Lasko

Papers citing "Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model"

18 / 18 papers shown

Title
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Biwei Huang Yi-An Ma Zhen Zhang 71 1 0 08 Oct 2024
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 69 1 0 29 Jul 2023
Rank-Based Causal Discovery for Post-Nonlinear Models Grigor Keropyan David Strieder Mathias Drton CML 66 6 0 23 Feb 2023
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 71 18 0 01 Nov 2022
Identifying Patient-Specific Root Causes of Disease Eric V. Strobl Thomas A. Lasko CML 26 15 0 23 May 2022
Why did the distribution change? Kailash Budhathoki Dominik Janzing Patrick Bloebaum Hoiyi Ng 34 45 0 26 Feb 2021
Causal structure based root cause analysis of outliers Dominik Janzing Kailash Budhathoki Lenon Minorics Patrick Blobaum CML 63 65 0 05 Dec 2019
Causal Inference via Kernel Deviance Measures Jovana Mitrović Dino Sejdinovic Yee Whye Teh CML 38 62 0 12 Apr 2018
Consistent Individualized Feature Attribution for Tree Ensembles Scott M. Lundberg G. Erion Su-In Lee FAtt TDI 59 1,392 0 12 Feb 2018
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Eric V. Strobl Kun Zhang Shyam Visweswaran BDL 58 175 0 13 Feb 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 681 38,735 0 09 Mar 2016
Justifying Information-Geometric Causal Inference Dominik Janzing Bastian Steudel Naji Shajarisales Bernhard Schölkopf CML 36 34 0 11 Feb 2014
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 100 563 0 26 Sep 2013
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 112 604 0 14 Nov 2012
On the Identifiability of the Post-Nonlinear Causal Model Kun Zhang Aapo Hyvarinen CML 184 564 0 09 May 2012
Identifiability of Causal Graphs using Functional Models J. Peters Joris Mooij Dominik Janzing Bernhard Schölkopf 86 155 0 14 Feb 2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 97 510 0 13 Jan 2011
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 145 306 0 23 Apr 2008