Fast causal orientation learning in directed acyclic graphs

DOI10.1016/j.ijar.2022.11.005OpenAlexW4309023037MaRDI QIDQ2677849

Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh

Publication date: 6 January 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2205.13919

zbMATH Keywords

causal discoveryexperiment designstructural causal modelscausal orientation learningmeek rules

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• pcalg
• TETRAD

Cites Work

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• Two methods for the generation of chordal graphs
• Estimating high-dimensional intervention effects from observational data
• Causation, prediction, and search
• A characterization of Markov equivalence classes for acyclic digraphs
• Causal inference in partially linear structural equation models
• Two optimal strategies for active learning of causal models from interventional data
• Triangulated graphs and the elimination process
• Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

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