Judea Pearl

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Probabilities of Causation with Nonbinary Treatment and Effect.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Epsilon-Identifiability of Causal Quantities.

[BibT_eX]

[DOI]

Scott Mueller

CoRR, 2023

Causal Inference under Interference and Model Uncertainty.

[BibT_eX]

[DOI]

Chi Zhang

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Probabilities of Causation: Role of Observational Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Probabilities of Causation from Finite Population Data.

[BibT_eX]

[DOI]

CoRR, 2022

Unit Selection: Learning Benefit Function from Finite Population Data.

[BibT_eX]

[DOI]

CoRR, 2022

Unit Selection: Case Study and Comparison with A/B Test Heuristic.

[BibT_eX]

[DOI]

CoRR, 2022

Probabilities of Causation: Adequate Size of Experimental and Observational Samples.

[BibT_eX]

[DOI]

Ruirui Mao

CoRR, 2022

Personalized Decision Making - A Conceptual Introduction.

[BibT_eX]

[DOI]

Scott Mueller

CoRR, 2022

Causal Inference with Non-IID Data using Linear Graphical Models.

[BibT_eX]

[DOI]

Chi Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causes of Effects: Learning Individual Responses from Population Data.

[BibT_eX]

[DOI]

Scott Mueller

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bounds on Causal Effects and Application to High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Unit Selection with Causal Diagram.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Equivalence and Synthesis of Causal Models.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations OrWhen Would x Tell You More about y If You Already Know z?

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

External Validity: From Do-Calculus to Transportability Across Populations.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Detecting Latent Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Comment: Understanding Simpson's Paradox.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Causality 2002-2020 - Introduction.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Direct and Indirect Effects.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Probabilities of Causation: Three Counterfactual Interpretations and Their Identification.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Causal Diagrams for Empirical Research (With Discussions).

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Causality 1988-2001 - Introduction.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Fusion, Propagation, and Structuring in Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Probabilities - Introduction.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

On the Discovery and Generation of Certain Heuristics.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Asymptotic Properties of Minimax Trees and Game-Searching Procedures.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Heuristics - Introduction.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Turing Award Lecture.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Recovering from Selection Bias in Causal and Statistical Inference.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Probabilistic Evaluation of Counterfactual Queries.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021

Exploiting Equality Constraints in Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models.

[BibT_eX]

[DOI]

Chi Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The seven tools of causal inference, with reflections on machine learning.

[BibT_eX]

[DOI]

Commun. ACM, 2019

Unit Selection Based on Counterfactual Logic.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sensitivity Analysis of Linear Structural Causal Models.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

The new science of cause and effect, with reflections on data science and artificial intelligence.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

What is Causal Inference?

[BibT_eX]

Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), 2019

2018

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Consistent Estimation given Missing Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Estimation with Incomplete Data: The Linear Case.

[BibT_eX]

[DOI]

Felix Thömmes

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Counterfactual Data-Fusion for Online Reinforcement Learners.

[BibT_eX]

[DOI]

Andrew Forney

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Preface to the ACM TIST Special Issue on Causal Discovery and Inference.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2016

Causal inference and the data-fusion problem.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2016

Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

External Validity: From Do-Calculus to Transportability Across Populations.

[BibT_eX]

[DOI]

CoRR, 2015

Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models.

[BibT_eX]

[DOI]

CoRR, 2015

Missing Data as a Causal and Probabilistic Problem.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Bandits with Unobserved Confounders: A Causal Approach.

[BibT_eX]

[DOI]

Andrew Forney

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Missing Data from a Causal Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

2014

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.

[BibT_eX]

[DOI]

CoRR, 2014

Generalizing causal knowledge: theory and algorithms.

[BibT_eX]

[DOI]

AI Matters, 2014

Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Transportability from Multiple Environments with Limited Experiments: Completeness Results.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the Testability of Models with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Random Bayesian networks with bounded indegree.

[BibT_eX]

[DOI]

Eunice Yuh-Jie Chen

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Testable Implications of Linear Structural Equation Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Recovering from Selection Bias in Causal and Statistical Inference.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Graphical Models for Probabilistic and Causal Reasoning.

[BibT_eX]

Proceedings of the Computing Handbook, 2014

2013

Learning Link-Probabilities in Causal Trees

[BibT_eX]

[DOI]

Igor Roizen

CoRR, 2013

Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations

[BibT_eX]

[DOI]

CoRR, 2013

On the Equivalence of Causal Models

[BibT_eX]

[DOI]

Tom S. Verma

CoRR, 2013

A General Algorithm for Deciding Transportability of Experimental Results.

[BibT_eX]

[DOI]

CoRR, 2013

Structural Counterfactuals: A Brief Introduction.

[BibT_eX]

[DOI]

Cogn. Sci., 2013

Graphical Models for Inference with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Transportability from Multiple Environments with Limited Experiments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A simple criterion for controlling selection bias.

[BibT_eX]

[DOI]

Eunice Yuh-Jie Chen

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Meta-Transportability of Causal Effects: A Formal Approach.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Causal Transportability with Limited Experiments.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Controlling Selection Bias in Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

The Do-Calculus Revisited.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Causal Inference by Surrogate Experiments: z-Identifiability.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Human and Machine Intelligence.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Centenary Celebration, 2012

Transportability of Causal Effects: Completeness Results.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Causal Diagrams.

[BibT_eX]

[DOI]

Sander Greenland

Proceedings of the International Encyclopedia of Statistical Science, 2011

Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel.

[BibT_eX]

[DOI]

NeuroImage, 2011

The algorithmization of counterfactuals.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2011

The mathematics of causal inference.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Transportability of Causal and Statistical Relations: A Formal Approach.

[BibT_eX]

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

Local Characterizations of Causal Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2011

On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Belief propagation: technical perspective.

[BibT_eX]

[DOI]

Yair Weiss

Commun. ACM, 2010

Confounding Equivalence in Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

On Measurement Bias in Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

On a Class of Bias-Amplifying Variables that Endanger Effect Estimates.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

2009

Effects of Treatment on the Treated: Identification and Generalization.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

2008

Complete Identification Methods for the Causal Hierarchy.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Dormant Independence.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Causality and Counterfactuals in the Situation Calculus.

[BibT_eX]

[DOI]

Mark Hopkins

J. Log. Comput., 2007

What Counterfactuals Can Be Tested.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

2006

Identification of Conditional Interventional Distributions.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

Graphical Condition for Identification in recursive SEM.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

A Characterization of Interventional Distributions in Semi-Markovian Causal Models.

[BibT_eX]

[DOI]

Changsung Kang

Proceedings of the Proceedings, 2006

Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Influence Diagrams - Historical and Personal Perspectives.

[BibT_eX]

[DOI]

Decis. Anal., 2005

Response to review by Kyburg.

[BibT_eX]

[DOI]

Artif. Intell., 2005

Identifiability of Path-Specific Effects.

[BibT_eX]

[DOI]

Chen Avin

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

Robustness of Causal Claims.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

2002

Reasoning with Cause and Effect.

[BibT_eX]

[DOI]

AI Mag., 2002

On the Testable Implications of Causal Models with Hidden Variables.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

Generalized Instrumental Variables.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation.

[BibT_eX]

[DOI]

Blai Bonet

Proceedings of the UAI '02, 2002

A New Characterization of the Experimental Implications of Causal Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

A General Identification Condition for Causal Effects.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

A Graphical Criterion for the Identification of Causal Effects in Linear Models.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

On Two Pseudo-Paradoxes in Bayesian Analysis.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2001

Causal Discovery from Changes.

[BibT_eX]

[DOI]

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Direct and Indirect Effects.

[BibT_eX]

[DOI]

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Causes and Explanations: A Structural-Model Approach: Part 1: Causes.

[BibT_eX]

[DOI]

Joseph Y. Halpern

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Causes and Explanations: A Structural-Model Approach - Part II: Explanations.

[BibT_eX]

Joseph Y. Halpern

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Causes and Explanations: A Structural-Model Approach, Part I: Causes

[BibT_eX]

[DOI]

Joseph Y. Halpern

CoRR, 2000

Probabilities of causation: Bounds and identification.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2000

1999

Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification.

[BibT_eX]

[DOI]

Synth., 1999

Testing regression models with fewer regressors.

[BibT_eX]

[DOI]

Peyman Meshkat

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1997

The Relevance of Relevance (Editorial).

[BibT_eX]

[DOI]

Devika Subramanian

Russell Greiner

Artif. Intell., 1997

Axioms of Causal Relevance.

[BibT_eX]

[DOI]

David Galles

Artif. Intell., 1997

On the Logic of Iterated Belief Revision.

[BibT_eX]

[DOI]

Adnan Darwiche

Artif. Intell., 1997

Graphical Models for Probabilistic and Causal Reasoning.

[BibT_eX]

Proceedings of the Computer Science and Engineering Handbook, 1997

1996

A new characterization of graphs based on interception relations.

[BibT_eX]

[DOI]

Shmuel Ur

J. Graph Theory, 1996

Logarithmic-Time Updates and Queries in Probabilistic Networks.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 1996

Decision Making Under Uncertainty.

[BibT_eX]

[DOI]

ACM Comput. Surv., 1996

Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling.

[BibT_eX]

[DOI]

Artif. Intell., 1996

Uncovering Trees in Constraint Networks.

[BibT_eX]

[DOI]

Itay Meiri

Artif. Intell., 1996

Identifying Independencies in Causal Graphs with Feedback.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Causation, Action and Counterfactuals.

[BibT_eX]

Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge, 1996

A Clinician's Tool for Analyzing Non-Compliance.

[BibT_eX]

[DOI]

David Maxwell Chickering

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Causal inference from indirect experiments.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 1995

Probabilistic evaluation of sequential plans from causal models with hidden variables.

[BibT_eX]

[DOI]

James M. Robins

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

On the Testability of Causal Models With Latent and Instrumental Variables.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Testing Identifiability of Causal Effects.

[BibT_eX]

[DOI]

David Galles

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Counterfactuals and Policy Analysis in Structural Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Specificity and Inheritance in Default Reasoning.

[BibT_eX]

[DOI]

Sek-Wah Tan

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

A Causal Calculus for Statistical Research.

[BibT_eX]

[DOI]

Proceedings of the Learning from Data, 1995

1994

A Probabilistic Calculus of Actions.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

On Testing Whether an Embedded Bayesian Network Represents a Probability Model.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Counterfactual Probabilities: Computational Methods, Bounds and Applications.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Specification and Evaluation of Preferences Under Uncertainty.

[BibT_eX]

Sek-Wah Tan

Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning (KR'94). Bonn, 1994

Qualitative Decision Theory.

[BibT_eX]

[DOI]

Sek-Wah Tan

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Symbolic Causal Networks.

[BibT_eX]

[DOI]

Adnan Darwiche

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Probabilistic Evaluation of Counterfactual Queries.

[BibT_eX]

[DOI]

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

A Maximum Entropy Approach to Nonmonotonic Reasoning.

[BibT_eX]

[DOI]

Paul H. Morris

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Belief Networks Revisited.

[BibT_eX]

[DOI]

Artif. Intell., 1993

Deciding Morality of Graphs is NP-complete.

[BibT_eX]

[DOI]

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

From Conditional Oughts to Qualitative Decision Theory.

[BibT_eX]

[DOI]

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992

Rejoinder to comments on "reasoning with belief functions: An analysis of compatibility".

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 1992

On the Consistency of Defeasible Databases.

[BibT_eX]

[DOI]

Artif. Intell., 1992

Conditional Entailment: Bridging two Approaches to Default Reasoning.

[BibT_eX]

[DOI]

Hector Geffner

Artif. Intell., 1992

Structure Identification in Relational Data.

[BibT_eX]

[DOI]

Artif. Intell., 1992

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

[BibT_eX]

[DOI]

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Reasoning with Qualitative Probabilities Can Be Tractable.

[BibT_eX]

[DOI]

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions.

[BibT_eX]

Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992

Empirical Semantics for Defeasible Databases.

[BibT_eX]

Proceedings of the Logic Programming, 1992

1991

Axioms and Algorithms for Inferences Involving Probabilistic Independence

[BibT_eX]

[DOI]

Inf. Comput., March, 1991

Temporal Constraint Networks.

[BibT_eX]

[DOI]

Itay Meiri

Artif. Intell., 1991

A Theory of Inferred Causation.

[BibT_eX]

Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991

Directed Constraint Networks: A Relational Framework for Causal Modeling.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

System-Z+: A Formalism for Reasoning with Variable-Strength Defaults.

[BibT_eX]

[DOI]

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990

Identifying independence in bayesian networks.

[BibT_eX]

[DOI]

Networks, 1990

Reasoning with belief functions: An analysis of compatibility.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 1990

Logical and algorithmic properties of independence and their application to Bayesian networks.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 1990

Equivalence and synthesis of causal models.

[BibT_eX]

[DOI]

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning.

[BibT_eX]

Proceedings of the 3rd Conference on Theoretical Aspects of Reasoning about Knowledge, 1990

Tree Decomposition with Applications to Constraint Processing.

[BibT_eX]

[DOI]

Itay Meiri

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

Learning Causal Trees from Dependence Information.

[BibT_eX]

[DOI]

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Conditional independence and its representations.

[BibT_eX]

[DOI]

Kybernetika, 1989

Tree Clustering for Constraint Networks.

[BibT_eX]

[DOI]

Artif. Intell., 1989

Deciding Consistency of Databases Containing Defeasible and Strict Information.

[BibT_eX]

[DOI]

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

d-Separation: From Theorems to Algorithms.

[BibT_eX]

[DOI]

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

Probabilistic Semantics for Nonmonotonic Reasoning: A Survey.

[BibT_eX]

Proceedings of the 1st International Conference on Principles of Knowledge Representation and Reasoning (KR'89). Toronto, 1989

Learning Structure from Data: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989

Probabilistic reasoning in intelligent systems - networks of plausible inference.

[BibT_eX]

Morgan Kaufmann series in representation and reasoning, Morgan Kaufmann, 1989

1988

The recovery of causal poly-trees from statistical data.

[BibT_eX]

George Rebane

Int. J. Approx. Reason., 1988

Do we need higher-order probabilities, and, if so, what do they mean?

[BibT_eX]

Int. J. Approx. Reason., 1988

On probability intervals.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 1988

On logic and probability.

[BibT_eX]

[DOI]

Comput. Intell., 1988

Embracing Causality in Default Reasoning.

[BibT_eX]

[DOI]

Artif. Intell., 1988

Causal networks: semantics and expressiveness.

[BibT_eX]

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

On the logic of causal models.

[BibT_eX]

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

Tree-Clustering Schemes for Constraint-Processing.

[BibT_eX]

[DOI]

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

Convince: A Conversational Inference Consolidation Engine.

[BibT_eX]

[DOI]

Jin H. Kim

IEEE Trans. Syst. Man Cybern., 1987

Distributed Revision of Composite Beliefs.

[BibT_eX]

[DOI]

Artif. Intell., 1987

Evidential Reasoning Using Stochastic Simulation of Causal Models.

[BibT_eX]

[DOI]

Artif. Intell., 1987

Network-Based Heuristics for Constraint-Satisfaction Problems.

[BibT_eX]

[DOI]

Artif. Intell., 1987

Structuring Causal Tree Models with Continuous Variables.

[BibT_eX]

[DOI]

Lei Xu

Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987

An Improved Constraint-Propagation Algorithm for Diagnosis.

[BibT_eX]

[DOI]

Hector Geffner

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

The Logic of Representing Dependencies by Directed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

Embracing Causality in Formal Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986

Structuring causal trees.

[BibT_eX]

[DOI]

Michael Tarsi

J. Complex., 1986

On Evidential Reasoning in a Hierarchy of Hypotheses.

[BibT_eX]

[DOI]

Artif. Intell., 1986

Fusion, Propagation, and Structuring in Belief Networks.

[BibT_eX]

[DOI]

Artif. Intell., 1986

Distributedrevision of belief commitment in composite explanations.

[BibT_eX]

[DOI]

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

Probabilistic reasoning using graphs.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Knowledge-Based Systems, 1986

Graphoids: Graph-Based Logic for Reasoning about Relevance Relations or When would x tell you more about y if you already know z?

[BibT_eX]

Proceedings of the Advances in Artificial Intelligence II, 1986

Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring.

[BibT_eX]

[DOI]

Ingrid Zukerman

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

On the Logic of Probabilistic Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985

Generalized Best-First Search Strategies and the Optimality of A*

[BibT_eX]

[DOI]

J. ACM, July, 1985

A Constraint-Propagation Approach to Probabilistic Reasoning.

[BibT_eX]

[DOI]

Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985

Learning Hidden Causes from Empirical Data.

[BibT_eX]

[DOI]

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

The Anatomy of Easy Problems: A Constraint-Satisfaction Formulation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

How to Do with Probabilities What People Say You Can't.

[BibT_eX]

Proceedings of the Artificial Intelligence Applications, 1985

1984

Some Recent Results in Heuristic Search Theory.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1984

Heuristics - intelligent search strategies for computer problem solving.

[BibT_eX]

Addison-Wesley series in artificial intelligence, Addison-Wesley, ISBN: 978-0-201-05594-8, 1984

1983

On the Discovery and Generation of Certain Heuristics.

[BibT_eX]

[DOI]

AI Mag., 1983

A Minimax Algorithm Better Than Alpha-Beta? Yes and No.

[BibT_eX]

[DOI]

Igor Roizen

Artif. Intell., 1983

On the Nature of Pathology in Game Searching.

[BibT_eX]

[DOI]

Artif. Intell., 1983

Knowledge Versus Search: A Quantitative Analysis Using A*.

[BibT_eX]

[DOI]

Artif. Intell., 1983

Searching for an Optimal Path in a Tree with Random Costs.

[BibT_eX]

[DOI]

Richard M. Karp

Artif. Intell., 1983

A Computational Model for Causal and Diagnostic Reasoning in Inference Systems.

[BibT_eX]

[DOI]

Jin H. Kim

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

The Optimality of A* Revisited.

[BibT_eX]

[DOI]

Proceedings of the National Conference on Artificial Intelligence, 1983

1982

GODDESS: A Goal-Directed Decision Structuring System.

[BibT_eX]

[DOI]

Antonio Leal

Joseph Saleh

IEEE Trans. Pattern Anal. Mach. Intell., 1982

Studies in Semi-Admissible Heuristics.

[BibT_eX]

[DOI]

Jin H. Kim

IEEE Trans. Pattern Anal. Mach. Intell., 1982

The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality.

[BibT_eX]

[DOI]

Commun. ACM, 1982

The Utility of Precision in Search Heuristics.

[BibT_eX]

Proceedings of the 5th European Conference on Artificial Intelligence, 1982

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach.

[BibT_eX]

[DOI]

Proceedings of the National Conference on Artificial Intelligence, 1982

1981

A Space-Efficient On-Line Method of Computing Quantile Estimates.

[BibT_eX]

[DOI]

J. Algorithms, 1981

Heuristic Search Theory: Survey of Recent Results.

[BibT_eX]

[DOI]

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Automata, 1981

1980

Storage space versus validity of answers in probabilistic question-answering systems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1980

Asymptotic Properties of Minimax Trees and Game-Searching Procedures.

[BibT_eX]

[DOI]

Artif. Intell., 1980

Probabilistic Analysis of the Complexity of A*.

[BibT_eX]

[DOI]

Nam Huyn

Artif. Intell., 1980

Asymptotic Complexity of Game-Searching Procedures.

[BibT_eX]

[DOI]

Proceedings of the Mathematical Foundations of Computer Science 1980 (MFCS'80), 1980

SCOUT: A Simple Game-Searching Algorithm with Proven Optimal Properties.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual National Conference on Artificial Intelligence, 1980

1979

Elasticity conditions for storage versus error exchange in question-Answering systems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1979

Bounds on memory versus error trade-offs in question-answering systems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1979

Asymptotic rate-distortion functions for coding precedence relations (Corresp.).

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1979

Asymptotic Properties of Discrete Unitary Transforms.

[BibT_eX]

[DOI]

Yechiam Yemini

IEEE Trans. Pattern Anal. Mach. Intell., 1979

Capacity and Error Estimates for Boolean Classifiers with Limited Complexity.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1979

1977

A Framework for Processing Value Judgments.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern., 1977

An Interactive Program Fo Conversational Elicitation of Decision Structures.

[BibT_eX]

[DOI]

Antonio Leal

IEEE Trans. Syst. Man Cybern., 1977

On summarizing data using probabilistic assertions.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1977

An Interactive Program for Conversational Elecitation of Decision Structures.

[BibT_eX]

[DOI]

Antonio Leal

Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977

1976

Theoretical bounds on the complexity of inexact computations.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1976

On coding precedence relations with a pair-ordering fidelity criterion (Corresp.).

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1976

Memory Versus Error Characteristics for Inexact Representations of Linear Orders.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 1976

An application of rate-distortion theory to pattern recognition and classification.

[BibT_eX]

[DOI]

Pattern Recognit., 1976

1975

On the Storage Economy of Inferential Question-Answering Systems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern., 1975

On the residual correlation of finite-dimensional discrete Fourier transforms of stationary signals (Corresp.).

[BibT_eX]

[DOI]

Massih Hamidi

IEEE Trans. Inf. Theory, 1975

Optimal Dyadic Models of Time-Invariant Systems.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 1975

On the Complexity of Inexact Computations.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1975

On The Storage Economy Of Error-Tolerating Question-Answering Systems.

[BibT_eX]

[DOI]

Proceedings of the Advance Papers of the Fourth International Joint Conference on Artificial Intelligence, 1975

1973

On coding and filtering stationary signals by discrete Fourier transforms (Corresp.).

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1973

Time, frequency, sequency, and their uncertainty relations (Corresp.).

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1973

1972

Comments on "Application of Walsh Transform to Statistical Analysis".

[BibT_eX]

[DOI]

C. K. Yuen

IEEE Trans. Syst. Man Cybern., 1972

Performance Measures for Transform Data Coding.

[BibT_eX]

[DOI]

Harry C. Andrews

William K. Pratt

IEEE Trans. Commun., 1972

1971

Application of Walsh Transform to Statistical Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern., 1971

Basis-restricted transformations and performance measures for spectral representations (Corresp.).

[BibT_eX]

[DOI]