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Discovering Cyclic Causal Models with Latent Variables: A General
  SAT-Based Procedure

Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure

26 September 2013
Antti Hyttinen
P. Hoyer
F. Eberhardt
Matti Järvisalo
    CML
ArXiv (abs)PDFHTML

Papers citing "Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure"

9 / 9 papers shown
Title
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
OODCML
269
2
0
07 May 2024
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
196
444
0
20 Feb 2013
Directed Cyclic Graphical Representations of Feedback Models
Directed Cyclic Graphical Representations of Feedback Models
Peter Spirtes
CML
112
239
0
20 Feb 2013
Identifying Independencies in Causal Graphs with Feedback
Identifying Independencies in Causal Graphs with Feedback
Judea Pearl
R. Dechter
CML
87
105
0
13 Feb 2013
Bayesian Networks from the Point of View of Chain Graphs
Bayesian Networks from the Point of View of Chain Graphs
M. Studený
GNN
53
43
0
30 Jan 2013
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data
  Sets with Overlapping Variables
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables
Antti Hyttinen
F. Eberhardt
P. Hoyer
CML
67
15
0
16 Oct 2012
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian
  Networks and Maximal Ancestral Graphs
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs
Giorgos Borboudakis
Ioannis Tsamardinos
87
37
0
27 Jun 2012
Modeling Discrete Interventional Data using Directed Cyclic Graphical
  Models
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark Schmidt
Kevin P. Murphy
153
40
0
09 May 2012
On Deducing Conditional Independence from d-Separation in Causal Graphs
  with Feedback (Research Note)
On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note)
Radford M. Neal
CML
77
52
0
01 Jun 2011
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