Judea Pearl

Publication Activity (10 Years)

Years Active: 1971-2023
Publications (10 Years): 39

Top Venues

CoRR

AAAI

AISTATS

NIPS

Publications

Ang Li, Judea Pearl
Probabilities of Causation: Role of Observational Data. AISTATS (2023)
Ang Li, Scott Mueller, Judea Pearl
Epsilon-Identifiability of Causal Quantities. CoRR (2023)
Chi Zhang, Karthika Mohan, Judea Pearl
Causal Inference under Interference and Model Uncertainty. CLeaR (2023)
Ang Li, Judea Pearl
Probabilities of Causation with Nonbinary Treatment and Effect. CoRR (2022)
Chi Zhang, Karthika Mohan, Judea Pearl
Causal Inference with Non-IID Data using Linear Graphical Models. NeurIPS (2022)
Ang Li, Ruirui Mao, Judea Pearl
Probabilities of Causation: Adequate Size of Experimental and Observational Samples. CoRR (2022)
Ang Li, Judea Pearl
Unit Selection with Causal Diagram. AAAI (2022)
Ang Li, Judea Pearl
Unit Selection with Nonbinary Treatment and Effect. CoRR (2022)
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
Unit Selection: Learning Benefit Function from Finite Population Data. CoRR (2022)
Ang Li, Judea Pearl
Bounds on Causal Effects and Application to High Dimensional Data. AAAI (2022)
Ang Li, Judea Pearl
Probabilities of Causation: Role of Observational Data. CoRR (2022)
Scott Mueller, Ang Li, Judea Pearl
Causes of Effects: Learning Individual Responses from Population Data. IJCAI (2022)
Ang Li, Judea Pearl
Unit Selection: Case Study and Comparison with A/B Test Heuristic. CoRR (2022)
Scott Mueller, Judea Pearl
Personalized Decision Making - A Conceptual Introduction. CoRR (2022)
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
Learning Probabilities of Causation from Finite Population Data. CoRR (2022)
Ang Li, Judea Pearl
Unit Selection with Causal Diagram. CoRR (2021)
Scott Mueller, Ang Li, Judea Pearl
Causes of Effects: Learning individual responses from population data. CoRR (2021)
Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl
Exploiting Equality Constraints in Causal Inference. AISTATS (2021)
Ang Li, Judea Pearl
Bounds on Causal Effects and Application to High Dimensional Data. CoRR (2021)
Chi Zhang, Bryant Chen, Judea Pearl
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. AAAI (2020)
Judea Pearl
The new science of cause and effect, with reflections on data science and artificial intelligence. IEEE BigData (2019)
Judea Pearl
What is Causal Inference? AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Judea Pearl
The seven tools of causal inference, with reflections on machine learning. Commun. ACM 62 (3) (2019)
Ang Li, Judea Pearl
Unit Selection Based on Counterfactual Logic. IJCAI (2019)
Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim
Sensitivity Analysis of Linear Structural Causal Models. ICML (2019)
Judea Pearl
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. WSDM (2018)
Karthika Mohan, Felix Thoemmes, Judea Pearl
Estimation with Incomplete Data: The Linear Case. IJCAI (2018)
Judea Pearl
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. CoRR (2018)
Karthika Mohan, Judea Pearl
Consistent Estimation given Missing Data. PGM (2018)
Andrew Forney, Judea Pearl, Elias Bareinboim
Counterfactual Data-Fusion for Online Reinforcement Learners. ICML (2017)
Elias Bareinboim, Judea Pearl
Causal inference and the data-fusion problem. Proc. Natl. Acad. Sci. USA 113 (27) (2016)
Bryant Chen, Judea Pearl, Elias Bareinboim
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables. IJCAI (2016)
Kun Zhang, Jiuyong Li, Elias Bareinboim, Bernhard Schölkopf, Judea Pearl
Preface to the ACM TIST Special Issue on Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. 7 (2) (2016)
Karthika Mohan, Judea Pearl
Missing Data from a Causal Perspective. AMBN@JSAI-isAI (2015)
Elias Bareinboim, Andrew Forney, Judea Pearl
Bandits with Unobserved Confounders: A Causal Approach. NIPS (2015)
Judea Pearl, Elias Bareinboim
External Validity: From Do-Calculus to Transportability Across Populations. CoRR (2015)
Ilya Shpitser, Karthika Mohan, Judea Pearl
Missing Data as a Causal and Probabilistic Problem. UAI (2015)
Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. UAI (2015)
Bryant Chen, Judea Pearl, Elias Bareinboim
Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models. CoRR (2015)
Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl
Logarithmic-Time Updates and Queries in Probabilistic Networks. CoRR (2014)
Karthika Mohan, Judea Pearl
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data. NIPS (2014)
Eunice Yuh-Jie Chen, Judea Pearl
Random Bayesian networks with bounded indegree. AISTATS (2014)
Guy Van den Broeck, Karthika Mohan, Arthur Choi, Judea Pearl
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. CoRR (2014)
Elias Bareinboim, Jin Tian, Judea Pearl
Recovering from Selection Bias in Causal and Statistical Inference. AAAI (2014)
Karthika Mohan, Judea Pearl
On the Testability of Models with Missing Data. AISTATS (2014)
Bryant Chen, Jin Tian, Judea Pearl
Testable Implications of Linear Structural Equation Models. AAAI (2014)
Elias Bareinboim, Judea Pearl
Transportability from Multiple Environments with Limited Experiments: Completeness Results. NIPS (2014)
Elias Bareinboim, Judea Pearl
Generalizing causal knowledge: theory and algorithms. AI Matters 1 (2) (2014)
Lei Xu, Judea Pearl
Structuring Causal Tree Models with Continuous Variables CoRR (2013)
Tom S. Verma, Judea Pearl
Deciding Morality of Graphs is NP-complete CoRR (2013)
Tom S. Verma, Judea Pearl
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation CoRR (2013)
Jin Tian, Judea Pearl
Probabilities of Causation: Bounds and Identification CoRR (2013)
Jin Tian, Judea Pearl
On the Testable Implications of Causal Models with Hidden Variables CoRR (2013)
Moisés Goldszmidt, Judea Pearl
Deciding Consistency of Databases Containing Defeasible and Strict Information CoRR (2013)
Elias Bareinboim, Judea Pearl
Meta-Transportability of Causal Effects: A Formal Approach. AISTATS (2013)
Judea Pearl
A Constraint Propagation Approach to Probabilistic Reasoning CoRR (2013)
Jin Tian, Judea Pearl
Causal Discovery from Changes CoRR (2013)
Judea Pearl
Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations CoRR (2013)
Alexander Balke, Judea Pearl
Counterfactuals and Policy Analysis in Structural Models CoRR (2013)
Tom S. Verma, Judea Pearl
On the Equivalence of Causal Models CoRR (2013)
Dan Geiger, Azaria Paz, Judea Pearl
On Testing Whether an Embedded Bayesian Network Represents a Probability Model CoRR (2013)
Tom S. Verma, Judea Pearl
Causal Networks: Semantics and Expressiveness CoRR (2013)
Carlos Brito, Judea Pearl
Generalized Instrumental Variables CoRR (2013)
Elias Bareinboim, Sanghack Lee, Vasant G. Honavar, Judea Pearl
Transportability from Multiple Environments with Limited Experiments. NIPS (2013)
Alexander Balke, Judea Pearl
Counterfactual Probabilities: Computational Methods, Bounds and Applications CoRR (2013)
Eunice Yuh-Jie Chen, Judea Pearl
A simple criterion for controlling selection bias. AISTATS (2013)
Judea Pearl
From Conditional Oughts to Qualitative Decision Theory CoRR (2013)
Judea Pearl
Direct and Indirect Effects CoRR (2013)
George Rebane, Judea Pearl
The Recovery of Causal Poly-Trees from Statistical Data CoRR (2013)
Judea Pearl
A Probabilistic Calculus of Actions CoRR (2013)
Blai Bonet, Judea Pearl
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation CoRR (2013)
Judea Pearl, James M. Robins
Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables CoRR (2013)
David Galles, Judea Pearl
Testing Identifiability of Causal Effects CoRR (2013)
Karthika Mohan, Judea Pearl, Jin Tian
Graphical Models for Inference with Missing Data. NIPS (2013)
Moisés Goldszmidt, Judea Pearl
Reasoning With Qualitative Probabilities Can Be Tractable CoRR (2013)
Igor Roizen, Judea Pearl
Learning Link-Probabilities in Causal Trees CoRR (2013)
Dan Geiger, Tom S. Verma, Judea Pearl
d-Separation: From Theorems to Algorithms CoRR (2013)
Judea Pearl
Do We Need Higher-Order Probabilities and, If So, What Do They Mean? CoRR (2013)
Judea Pearl, Rina Dechter
Identifying Independencies in Causal Graphs with Feedback CoRR (2013)
Elias Bareinboim, Judea Pearl
A General Algorithm for Deciding Transportability of Experimental Results. CoRR (2013)
Joseph Y. Halpern, Judea Pearl
Causes and Explanations: A Structural-Model Approach --- Part 1: Causes CoRR (2013)
Elias Bareinboim, Judea Pearl
Causal Transportability with Limited Experiments. AAAI (2013)
Judea Pearl
Structural Counterfactuals: A Brief Introduction. Cogn. Sci. 37 (6) (2013)
Dan Geiger, Judea Pearl
On the Logic of Causal Models CoRR (2013)
Judea Pearl
On the Testability of Causal Models with Latent and Instrumental Variables CoRR (2013)
Judea Pearl
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates CoRR (2012)
Judea Pearl
On Measurement Bias in Causal Inference CoRR (2012)
Elias Bareinboim, Judea Pearl
Transportability of Causal Effects: Completeness Results. AAAI (2012)
Judea Pearl
The Do-Calculus Revisited CoRR (2012)
Ilya Shpitser, Judea Pearl
Effects of Treatment on the Treated: Identification and Generalization CoRR (2012)
Ilya Shpitser, Judea Pearl
Identification of Conditional Interventional Distributions. CoRR (2012)
Carlos Brito, Judea Pearl
Graphical Condition for Identification in recursive SEM. CoRR (2012)
Barbara J. Grosz, Edward A. Feigenbaum, Marvin Minsky, Judea Pearl, Raj Reddy
Human and Machine Intelligence. ACM-TURING (2012)
Ilya Shpitser, Judea Pearl
What Counterfactuals Can Be Tested CoRR (2012)
Elias Bareinboim, Judea Pearl
Causal Inference by Surrogate Experiments: z-Identifiability CoRR (2012)
Elias Bareinboim, Judea Pearl
Controlling Selection Bias in Causal Inference. AISTATS (2012)
Judea Pearl, Azaria Paz
Confounding Equivalence in Causal Inference CoRR (2012)
Judea Pearl
Robustness of Causal Claims CoRR (2012)
Elias Bareinboim, Judea Pearl
Causal Inference by Surrogate Experiments: z-Identifiability. UAI (2012)
Judea Pearl
The Do-Calculus Revisited. UAI (2012)

Judea Pearl.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Judea Pearl