Learning Causal Structures Using Regression Invariance

Learning Causal Structures Using Regression Invariance

26 May 2017

AmirEmad Ghassami

Saber Salehkaleybar

Papers citing "Learning Causal Structures Using Regression Invariance"

19 / 19 papers shown

Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 111 8 0 13 Mar 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 188 2 0 07 May 2024
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 92 8 0 18 Jul 2023
Budgeted Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Elias Bareinboim CML 63 63 0 11 Sep 2017
Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 13 5 0 27 Feb 2017
Interaction Information for Causal Inference: The Case of Directed Triangle AmirEmad Ghassami Negar Kiyavash 31 23 0 30 Jan 2017
Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam Murat Kocaoglu A. Dimakis S. Vishwanath CML 60 105 0 30 Oct 2015
Discovery and Visualization of Nonstationary Causal Models Kun Zhang Erdun Gao Jiji Zhang Bernhard Schölkopf Clark Glymour CML 379 13 0 27 Sep 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 96 961 0 06 Jan 2015
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 84 563 0 26 Sep 2013
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation Thomas Verma Judea Pearl CML 48 298 0 13 Mar 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 76 165 0 10 Jan 2013
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables F. Eberhardt Clark Glymour R. Scheines 63 153 0 04 Jul 2012
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 74 604 0 27 Jun 2012
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 161 336 0 11 May 2012
On the Identifiability of the Post-Nonlinear Causal Model Kun Zhang Aapo Hyvarinen CML 143 558 0 09 May 2012
Directed Information Graphs Christopher J. Quinn Negar Kiyavash Todd P. Coleman CML 102 148 0 09 Apr 2012
Inferring deterministic causal relations P. Daniušis Dominik Janzing Joris Mooij Jakob Zscheischler Bastian Steudel Kun Zhang Bernhard Schölkopf CML 56 191 0 15 Mar 2012
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 82 305 0 23 Apr 2008