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1302.3549
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An Algorithm for Finding Minimum d-Separating Sets in Belief Networks
Conference on Uncertainty in Artificial Intelligence (UAI), 1996
13 February 2013
Silvia Acid
L. M. D. Campos
CML
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Papers citing
"An Algorithm for Finding Minimum d-Separating Sets in Belief Networks"
13 / 13 papers shown
Causal Discovery under Latent Class Confounding
Bijan Mazaheri
Spencer Gordon
Y. Rabani
Leonard J. Schulman
CML
417
4
0
13 Nov 2023
Causal Imitability Under Context-Specific Independence Relations
Neural Information Processing Systems (NeurIPS), 2023
Fatemeh Jamshidi
S. Akbari
Negar Kiyavash
CML
381
7
0
01 Jun 2023
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
International Conference on Machine Learning (ICML), 2022
Miguel Suau
Jinke He
M. Spaan
F. Oliehoek
318
5
0
03 Feb 2022
Invariant Ancestry Search
International Conference on Machine Learning (ICML), 2022
Phillip B. Mogensen
Nikolaj Thams
J. Peters
305
6
0
02 Feb 2022
A note on efficient minimum cost adjustment sets in causal graphical models
Journal of Causal Inference (JCI), 2022
Ezequiel Smucler
A. Rotnitzky
CML
251
8
0
06 Jan 2022
Efficient adjustment sets in causal graphical models with hidden variables
Ezequiel Smucler
F. Sapienza
A. Rotnitzky
CML
OffRL
463
37
0
22 Apr 2020
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms
Journal of Artificial Intelligence Research (JAIR), 2020
Mohammad Ali Javidian
Marco Valtorta
Pooyan Jamshidi
382
12
0
24 Feb 2020
A Sufficient Statistic for Influence in Structured Multiagent Environments
Journal of Artificial Intelligence Research (JAIR), 2019
F. Oliehoek
Stefan J. Witwicki
L. Kaelbling
324
25
0
22 Jul 2019
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework
Artificial Intelligence (AI), 2018
Benito van der Zander
Maciej Liskiewicz
J. Textor
CML
261
40
0
28 Feb 2018
Drawing and Analyzing Causal DAGs with DAGitty
J. Textor
CML
165
55
0
19 Aug 2015
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
792
1,113
0
06 Jan 2015
Solving Multistage Influence Diagrams using Branch-and-Bound Search
Conference on Uncertainty in Artificial Intelligence (UAI), 2010
Changhe Yuan
Xiaojian Wu
E. Hansen
244
27
0
15 Mar 2012
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective
Conference on Uncertainty in Artificial Intelligence (UAI), 2011
J. Textor
Maciej Liskiewicz
CML
341
72
0
14 Feb 2012
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