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Unit Selection with Causal Diagram


Sep 15, 2021
Ang Li, Judea Pearl


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Bounds on Causal Effects and Application to High Dimensional Data


Jun 23, 2021
Ang Li, Judea Pearl


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Causes of Effects: Learning individual responses from population data


May 02, 2021
Scott Mueller, Ang Li, Judea Pearl


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Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution


Jan 11, 2018
Judea Pearl

* 8 pages, 3 figures 

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Incorporating Knowledge into Structural Equation Models using Auxiliary Variables


May 03, 2016
Bryant Chen, Judea Pearl, Elias Bareinboim


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External Validity: From Do-Calculus to Transportability Across Populations


Mar 05, 2015
Judea Pearl, Elias Bareinboim

* Statistical Science 2014, Vol. 29, No. 4, 579-595 
* Published in at http://dx.doi.org/10.1214/14-STS486 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org). arXiv admin note: text overlap with arXiv:1312.7485 

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Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data


Nov 25, 2014
Guy Van den Broeck, Karthika Mohan, Arthur Choi, Judea Pearl


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Logarithmic-Time Updates and Queries in Probabilistic Networks


Aug 07, 2014
Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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A General Algorithm for Deciding Transportability of Experimental Results


Dec 29, 2013
Elias Bareinboim, Judea Pearl

* Journal of Causal Inference, 2013; 1(1): 107-134 

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A Constraint Propagation Approach to Probabilistic Reasoning


Mar 27, 2013
Judea Pearl

* Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985) 

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Learning Link-Probabilities in Causal Trees


Mar 27, 2013
Igor Roizer, Judea Pearl

* Appears in Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI1986) 

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Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations


Mar 27, 2013
Judea Pearl

* Appears in Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI1986) 

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The Recovery of Causal Poly-Trees from Statistical Data


Mar 27, 2013
George Rebane, Judea Pearl

* Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987) 

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Structuring Causal Tree Models with Continuous Variables


Mar 27, 2013
Lei Xu, Judea Pearl

* Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987) 

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Do We Need Higher-Order Probabilities and, If So, What Do They Mean?


Mar 27, 2013
Judea Pearl

* Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987) 

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Causal Networks: Semantics and Expressiveness


Mar 27, 2013
Tom S. Verma, Judea Pearl

* Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988) 

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On the Logic of Causal Models


Mar 27, 2013
Dan Geiger, Judea Pearl

* Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988) 

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Deciding Consistency of Databases Containing Defeasible and Strict Information


Mar 27, 2013
Moises Goldszmidt, Judea Pearl

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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d-Separation: From Theorems to Algorithms


Mar 27, 2013
Dan Geiger, Tom S. Verma, Judea Pearl

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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On the Equivalence of Causal Models


Mar 27, 2013
Tom S. Verma, Judea Pearl

* Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990) 

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An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation


Mar 13, 2013
Tom S. Verma, Judea Pearl

* Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992) 

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Reasoning With Qualitative Probabilities Can Be Tractable


Mar 13, 2013
Moises Goldszmidt, Judea Pearl

* Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992) 

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Deciding Morality of Graphs is NP-complete


Mar 06, 2013
Tom S. Verma, Judea Pearl

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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From Conditional Oughts to Qualitative Decision Theory


Mar 06, 2013
Judea Pearl

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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A Probabilistic Calculus of Actions


Feb 27, 2013
Judea Pearl

* Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994) 

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On Testing Whether an Embedded Bayesian Network Represents a Probability Model


Feb 27, 2013
Dan Geiger, Azaria Paz, Judea Pearl

* Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994) 

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Counterfactual Probabilities: Computational Methods, Bounds and Applications


Feb 27, 2013
Alexander Balke, Judea Pearl

* Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994) 

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Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables


Feb 20, 2013
Judea Pearl, James M. Robins

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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On the Testability of Causal Models with Latent and Instrumental Variables


Feb 20, 2013
Judea Pearl

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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