A Unified Experiment Design Approach for Cyclic and Acyclic Causal
Models

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A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

20 May 2022

Ehsan Mokhtarian

Saber Salehkaleybar

AmirEmad Ghassami

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Papers citing "A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models"

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Title
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables Ehsan Mokhtarian M. Khorasani Jalal Etesami Negar Kiyavash CML 67 7 0 14 Aug 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs Marcel Wienöbst Max Bannach Maciej Liskiewicz TPM 33 17 0 17 Dec 2020
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
Interventional Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 45 10 0 12 Oct 2019
Experimental Design for Cost-Aware Learning of Causal Graphs Erik M. Lindgren Murat Kocaoglu A. Dimakis S. Vishwanath CML 50 37 0 28 Oct 2018
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders Patrick Forré Joris M. Mooij CML 59 56 0 09 Jul 2018
Markov Properties for Graphical Models with Cycles and Latent Variables Patrick Forré Joris M. Mooij 56 73 0 24 Oct 2017
Cost-Optimal Learning of Causal Graphs Murat Kocaoglu A. Dimakis S. Vishwanath CML 98 68 0 08 Mar 2017
Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam Murat Kocaoglu A. Dimakis S. Vishwanath CML 99 106 0 30 Oct 2015
Discovering Cyclic Causal Models by Independent Components Analysis Gustavo Lacerda Peter Spirtes Joseph Ramsey P. Hoyer CML 104 187 0 13 Jun 2012
Almost Optimal Intervention Sets for Causal Discovery F. Eberhardt CML 105 59 0 13 Jun 2012