A Recursive Markov Boundary-Based Approach to Causal Structure Learning

10 October 2020

Papers citing "A Recursive Markov Boundary-Based Approach to Causal Structure Learning"

8 / 8 papers shown

Title
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Mátyás Schubert Tom Claassen Sara Magliacane CML 73 0 0 11 Feb 2025
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 34 1 0 13 Jun 2024
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 44 0 0 08 Nov 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models Ehsan Mokhtarian Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash 29 3 0 20 May 2022
Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian S. Akbari Fatemeh Jamshidi Jalal Etesami Negar Kiyavash 31 16 0 20 Dec 2021
Causal Effect Identification with Context-specific Independence Relations of Control Variables Ehsan Mokhtarian Fatemeh Jamshidi Devendra Singh Dhami Kristian Kersting CML 19 9 0 22 Oct 2021
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias S. Akbari Ehsan Mokhtarian AmirEmad Ghassami Negar Kiyavash CML 11 24 0 22 Oct 2021
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 224 628 0 20 Feb 2013