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A Recursive Markov Boundary-Based Approach to Causal Structure Learning

A Recursive Markov Boundary-Based Approach to Causal Structure Learning

10 October 2020
Ehsan Mokhtarian
S. Akbari
AmirEmad Ghassami
Negar Kiyavash
    CML
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Papers citing "A Recursive Markov Boundary-Based Approach to Causal Structure Learning"

6 / 6 papers shown
Title
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
Mátyás Schubert
Tom Claassen
Sara Magliacane
CML
71
0
0
11 Feb 2025
Learning Linear Gaussian Polytree Models with Interventions
Learning Linear Gaussian Polytree Models with Interventions
D. Tramontano
L. Waldmann
Mathias Drton
Eliana Duarte
39
0
0
08 Nov 2023
Learning Bayesian Networks in the Presence of Structural Side
  Information
Learning Bayesian Networks in the Presence of Structural Side Information
Ehsan Mokhtarian
S. Akbari
Fatemeh Jamshidi
Jalal Etesami
Negar Kiyavash
21
16
0
20 Dec 2021
Causal Effect Identification with Context-specific Independence
  Relations of Control Variables
Causal Effect Identification with Context-specific Independence Relations of Control Variables
Ehsan Mokhtarian
Fatemeh Jamshidi
D. Dhami
Kristian Kersting
CML
9
9
0
22 Oct 2021
Recursive Causal Structure Learning in the Presence of Latent Variables
  and Selection Bias
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
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
216
626
0
20 Feb 2013
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