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Constraint-based Causal Discovery from Multiple Interventions over
  Overlapping Variable Sets

Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets

10 March 2014
Sofia Triantafillou
Ioannis Tsamardinos
    CML
ArXiv (abs)PDFHTML

Papers citing "Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets"

14 / 14 papers shown
Title
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Christine W. Bang
Vanessa Didelez
CML
128
0
0
27 Mar 2025
Causal Temporal Regime Structure Learning
Causal Temporal Regime Structure Learning
Abdellah Rahmani
Pascal Frossard
CML
244
2
0
20 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
148
16
0
10 Jan 2025
Sparse Nested Markov models with Log-linear Parameters
Sparse Nested Markov models with Log-linear Parameters
I. Shpitser
R. Evans
Thomas S. Richardson
J. M. Robins
CML
70
11
0
26 Sep 2013
Cyclic Causal Discovery from Continuous Equilibrium Data
Cyclic Causal Discovery from Continuous Equilibrium Data
Joris Mooij
Tom Heskes
72
82
0
26 Sep 2013
Discovering Cyclic Causal Models with Latent Variables: A General
  SAT-Based Procedure
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure
Antti Hyttinen
P. Hoyer
F. Eberhardt
Matti Järvisalo
CML
92
90
0
26 Sep 2013
Learning Gaussian Networks
Learning Gaussian Networks
D. Geiger
David Heckerman
TPM
84
500
0
27 Feb 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
82
15
0
16 Oct 2012
A Bayesian Approach to Constraint Based Causal Inference
A Bayesian Approach to Constraint Based Causal Inference
Tom Claassen
Tom Heskes
TPM
91
100
0
16 Oct 2012
Adjacency-Faithfulness and Conservative Causal Inference
Adjacency-Faithfulness and Conservative Causal Inference
Joseph Ramsey
Jiji Zhang
Peter Spirtes
109
276
0
27 Jun 2012
Maximum likelihood fitting of acyclic directed mixed graphs to binary
  data
Maximum likelihood fitting of acyclic directed mixed graphs to binary data
R. Evans
Thomas S. Richardson
75
25
0
15 Mar 2012
Learning high-dimensional directed acyclic graphs with latent and
  selection variables
Learning high-dimensional directed acyclic graphs with latent and selection variables
Diego Colombo
Marloes H. Maathuis
M. Kalisch
Thomas S. Richardson
CML
126
467
0
29 Apr 2011
Characterization and Greedy Learning of Interventional Markov
  Equivalence Classes of Directed Acyclic Graphs
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
98
426
0
14 Apr 2011
Markov equivalence for ancestral graphs
Markov equivalence for ancestral graphs
R. A. Ali
Thomas S. Richardson
Peter Spirtes
159
112
0
25 Aug 2009
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