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ORCIDJudea Pearl
Person information
- affiliation: University of California, Los Angeles, CA, USA
- award (2011): Turing Award
- award (2008): Benjamin Franklin Medal
- award (2003): ACM - AAAI Allen Newell Award
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Books and Theses
- 1989
[b2]Judea Pearl:
Probabilistic reasoning in intelligent systems - networks of plausible inference. Morgan Kaufmann series in representation and reasoning, Morgan Kaufmann 1989, pp. I-XIX, 1-552- 1984
- [b1]Judea Pearl:
Heuristics - intelligent search strategies for computer problem solving. Addison-Wesley series in artificial intelligence, Addison-Wesley 1984, ISBN 978-0-201-05594-8, pp. I-XVII, 1-382
Journal Articles
- 2019
- [j86]Judea Pearl:
The seven tools of causal inference, with reflections on machine learning. Commun. ACM 62(3): 54-60 (2019) - 2016
- [j85]Elias Bareinboim, Judea Pearl:
Causal inference and the data-fusion problem. Proc. Natl. Acad. Sci. USA 113(27): 7345-7352 (2016) - [j84]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): 17:1-17:3 (2016) - 2014
- [j83]Elias Bareinboim, Judea Pearl:
Generalizing causal knowledge: theory and algorithms. AI Matters 1(2): 11-13 (2014) - 2013
- [j82]Judea Pearl:
Structural Counterfactuals: A Brief Introduction. Cogn. Sci. 37(6): 977-985 (2013) - 2011
- [j81]Judea Pearl:
The algorithmization of counterfactuals. Ann. Math. Artif. Intell. 61(1): 29-39 (2011) - [j80]Judea Pearl:
Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel. NeuroImage 58(3): 770-771 (2011) - 2010
- [j79]Yair Weiss, Judea Pearl:
Belief propagation: technical perspective. Commun. ACM 53(10): 94 (2010) - 2008
- [j78]Ilya Shpitser, Judea Pearl:
Complete Identification Methods for the Causal Hierarchy. J. Mach. Learn. Res. 9: 1941-1979 (2008) - 2007
- [j77]Mark Hopkins, Judea Pearl:
Causality and Counterfactuals in the Situation Calculus. J. Log. Comput. 17(5): 939-953 (2007) - 2005
- [j76]Judea Pearl:
Response to review by Kyburg. Artif. Intell. 169(2): 180 (2005) - [j75]Judea Pearl:
Influence Diagrams - Historical and Personal Perspectives. Decis. Anal. 2(4): 232-234 (2005) - 2002
- [j74]Judea Pearl:
Reasoning with Cause and Effect. AI Mag. 23(1): 95-112 (2002) - 2001
- [j73]Judea Pearl:
On Two Pseudo-Paradoxes in Bayesian Analysis. Ann. Math. Artif. Intell. 32(1-4): 171-177 (2001) - 2000
- [j72]Jin Tian, Judea Pearl:
Probabilities of causation: Bounds and identification. Ann. Math. Artif. Intell. 28(1-4): 287-313 (2000) - 1999
- [j71]Judea Pearl:
Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification. Synth. 121(1-2): 93-149 (1999) - 1997
- [j70]Adnan Darwiche, Judea Pearl:
On the Logic of Iterated Belief Revision. Artif. Intell. 89(1-2): 1-29 (1997) - [j69]Devika Subramanian, Russell Greiner, Judea Pearl:
The Relevance of Relevance (Editorial). Artif. Intell. 97(1-2): 1-5 (1997) - [j68]David Galles, Judea Pearl:
Axioms of Causal Relevance. Artif. Intell. 97(1-2): 9-43 (1997) - 1996
- [j67]Judea Pearl:
Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling. Artif. Intell. 84(1-2): 57-112 (1996) - [j66]Itay Meiri, Rina Dechter, Judea Pearl:
Uncovering Trees in Constraint Networks. Artif. Intell. 86(2): 245-267 (1996) - [j65]Judea Pearl:
Decision Making Under Uncertainty. ACM Comput. Surv. 28(1): 89-92 (1996) - [j64]Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl:
Logarithmic-Time Updates and Queries in Probabilistic Networks. J. Artif. Intell. Res. 4: 37-59 (1996) - [j63]Azaria Paz, Judea Pearl, Shmuel Ur:
A new characterization of graphs based on interception relations. J. Graph Theory 22(2): 125-136 (1996) - 1995
- [j62]Judea Pearl:
Causal inference from indirect experiments. Artif. Intell. Medicine 7(6): 561-582 (1995) - 1993
- [j61]Judea Pearl:
Belief Networks Revisited. Artif. Intell. 59(1-2): 49-56 (1993) - [j60]Moisés Goldszmidt, Paul H. Morris, Judea Pearl:
A Maximum Entropy Approach to Nonmonotonic Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 15(3): 220-232 (1993) - 1992
- [j59]Moisés Goldszmidt, Judea Pearl:
On the Consistency of Defeasible Databases. Artif. Intell. 52(2): 121-149 (1992) - [j58]Hector Geffner, Judea Pearl:
Conditional Entailment: Bridging two Approaches to Default Reasoning. Artif. Intell. 53(2-3): 209-244 (1992) - [j57]Rina Dechter, Judea Pearl:
Structure Identification in Relational Data. Artif. Intell. 58(1-3): 237-270 (1992) - [j56]Judea Pearl:
Rejoinder to comments on "reasoning with belief functions: An analysis of compatibility". Int. J. Approx. Reason. 6(3): 425-443 (1992) - 1991
- [j55]Rina Dechter, Itay Meiri, Judea Pearl:
Temporal Constraint Networks. Artif. Intell. 49(1-3): 61-95 (1991) - [j54]Dan Geiger, Azaria Paz, Judea Pearl:
Axioms and Algorithms for Inferences Involving Probabilistic Independence. Inf. Comput. 91(1): 128-141 (1991) - 1990
- [j53]Dan Geiger, Judea Pearl:
Logical and algorithmic properties of independence and their application to Bayesian networks. Ann. Math. Artif. Intell. 2: 165-178 (1990) - [j52]Judea Pearl:
Reasoning with belief functions: An analysis of compatibility. Int. J. Approx. Reason. 4(5-6): 363-389 (1990) - [j51]Dan Geiger, Thomas Verma, Judea Pearl:
Identifying independence in bayesian networks. Networks 20(5): 507-534 (1990) - 1989
- [j50]Rina Dechter, Judea Pearl:
Tree Clustering for Constraint Networks. Artif. Intell. 38(3): 353-366 (1989) - [j49]Judea Pearl, Dan Geiger, Thomas Verma:
Conditional independence and its representations. Kybernetika 25(7): 33-44 (1989) - 1988
- [j48]Judea Pearl:
Embracing Causality in Default Reasoning. Artif. Intell. 35(2): 259-271 (1988) - [j47]Judea Pearl:
On logic and probability. Comput. Intell. 4: 99-103 (1988) - [j46]Judea Pearl:
On probability intervals. Int. J. Approx. Reason. 2(3): 211-216 (1988) - [j45]Judea Pearl:
Do we need higher-order probabilities, and, if so, what do they mean? Int. J. Approx. Reason. 2(3): 341 (1988) - [j44]George Rebane, Judea Pearl:
The recovery of causal poly-trees from statistical data. Int. J. Approx. Reason. 2(3): 341 (1988) - 1987
- [j43]Judea Pearl:
Evidential Reasoning Using Stochastic Simulation of Causal Models. Artif. Intell. 32(2): 245-257 (1987) - [j42]Judea Pearl:
Distributed Revision of Composite Beliefs. Artif. Intell. 33(2): 173-215 (1987) - [j41]Rina Dechter, Judea Pearl:
Network-Based Heuristics for Constraint-Satisfaction Problems. Artif. Intell. 34(1): 1-38 (1987) - [j40]Jin H. Kim, Judea Pearl:
Convince: A Conversational Inference Consolidation Engine. IEEE Trans. Syst. Man Cybern. 17(2): 120-132 (1987) - 1986
- [j39]Judea Pearl:
On Evidential Reasoning in a Hierarchy of Hypotheses. Artif. Intell. 28(1): 9-15 (1986) - [j38]Judea Pearl:
Fusion, Propagation, and Structuring in Belief Networks. Artif. Intell. 29(3): 241-288 (1986) - [j37]Judea Pearl, Michael Tarsi:
Structuring causal trees. J. Complex. 2(1): 60-77 (1986) - 1985
- [j36]Rina Dechter, Judea Pearl:
Generalized Best-First Search Strategies and the Optimality of A*. J. ACM 32(3): 505-536 (1985) - 1984
- [j35]Judea Pearl:
Some Recent Results in Heuristic Search Theory. IEEE Trans. Pattern Anal. Mach. Intell. 6(1): 1-13 (1984) - 1983
- [j34]Judea Pearl:
Knowledge Versus Search: A Quantitative Analysis Using A*. Artif. Intell. 20(1): 1-13 (1983) - [j33]Judea Pearl:
On the Nature of Pathology in Game Searching. Artif. Intell. 20(4): 427-453 (1983) - [j32]Richard M. Karp, Judea Pearl:
Searching for an Optimal Path in a Tree with Random Costs. Artif. Intell. 21(1-2): 99-116 (1983) - [j31]Igor Roizen, Judea Pearl:
A Minimax Algorithm Better Than Alpha-Beta? Yes and No. Artif. Intell. 21(1-2): 199-220 (1983) - [j30]Judea Pearl:
On the Discovery and Generation of Certain Heuristics. AI Mag. 4(1): 23-33 (1983) - 1982
- [j29]Judea Pearl:
The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality. Commun. ACM 25(8): 559-564 (1982) - [j28]Judea Pearl, Antonio Leal, Joseph Saleh:
GODDESS: A Goal-Directed Decision Structuring System. IEEE Trans. Pattern Anal. Mach. Intell. 4(3): 250-262 (1982) - [j27]Judea Pearl, Jin H. Kim:
Studies in Semi-Admissible Heuristics. IEEE Trans. Pattern Anal. Mach. Intell. 4(4): 392-399 (1982) - 1981
- [j26]Judea Pearl:
A Space-Efficient On-Line Method of Computing Quantile Estimates. J. Algorithms 2(2): 164-177 (1981) - 1980
- [j25]Judea Pearl:
Asymptotic Properties of Minimax Trees and Game-Searching Procedures. Artif. Intell. 14(2): 113-138 (1980) - [j24]Nam Huyn, Rina Dechter, Judea Pearl:
Probabilistic Analysis of the Complexity of A*. Artif. Intell. 15(3): 241-254 (1980) - [j23]Judea Pearl, Alain Crolotte:
Storage space versus validity of answers in probabilistic question-answering systems. IEEE Trans. Inf. Theory 26(6): 633-640 (1980) - 1979
- [j22]Judea Pearl:
Capacity and Error Estimates for Boolean Classifiers with Limited Complexity. IEEE Trans. Pattern Anal. Mach. Intell. 1(4): 350-356 (1979) - [j21]Yechiam Yemini, Judea Pearl:
Asymptotic Properties of Discrete Unitary Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 1(4): 366-371 (1979) - [j20]Alain Crolotte, Judea Pearl:
Asymptotic rate-distortion functions for coding precedence relations (Corresp.). IEEE Trans. Inf. Theory 25(1): 80-82 (1979) - [j19]Alain Crolotte, Judea Pearl:
Bounds on memory versus error trade-offs in question-answering systems. IEEE Trans. Inf. Theory 25(2): 193-202 (1979) - [j18]Alain Crolotte, Judea Pearl:
Elasticity conditions for storage versus error exchange in question-Answering systems. IEEE Trans. Inf. Theory 25(6): 653-664 (1979) - 1977
- [j17]Judea Pearl:
On summarizing data using probabilistic assertions. IEEE Trans. Inf. Theory 23(4): 459-465 (1977) - [j16]Judea Pearl:
A Framework for Processing Value Judgments. IEEE Trans. Syst. Man Cybern. 7(5): 349-354 (1977) - [j15]Antonio Leal, Judea Pearl:
An Interactive Program Fo Conversational Elicitation of Decision Structures. IEEE Trans. Syst. Man Cybern. 7(5): 368-376 (1977) - 1976
- [j14]Judea Pearl:
An application of rate-distortion theory to pattern recognition and classification. Pattern Recognit. 8(1): 11-22 (1976) - [j13]Judea Pearl:
Memory Versus Error Characteristics for Inexact Representations of Linear Orders. IEEE Trans. Computers 25(9): 922-928 (1976) - [j12]Judea Pearl:
On coding precedence relations with a pair-ordering fidelity criterion (Corresp.). IEEE Trans. Inf. Theory 22(1): 118-120 (1976) - [j11]Judea Pearl:
Theoretical bounds on the complexity of inexact computations. IEEE Trans. Inf. Theory 22(5): 580-586 (1976) - 1975
- [j10]Judea Pearl:
On the Complexity of Inexact Computations. Inf. Process. Lett. 4(3): 77-81 (1975) - [j9]Judea Pearl:
Optimal Dyadic Models of Time-Invariant Systems. IEEE Trans. Computers 24(6): 598-603 (1975) - [j8]Massih Hamidi, Judea Pearl:
On the residual correlation of finite-dimensional discrete Fourier transforms of stationary signals (Corresp.). IEEE Trans. Inf. Theory 21(4): 480-482 (1975) - [j7]Judea Pearl:
On the Storage Economy of Inferential Question-Answering Systems. IEEE Trans. Syst. Man Cybern. 5(6): 595-602 (1975) - 1973
- [j6]Judea Pearl:
Time, frequency, sequency, and their uncertainty relations (Corresp.). IEEE Trans. Inf. Theory 19(2): 225-229 (1973) - [j5]Judea Pearl:
On coding and filtering stationary signals by discrete Fourier transforms (Corresp.). IEEE Trans. Inf. Theory 19(2): 229-232 (1973) - 1972
- [j4]Judea Pearl, Harry C. Andrews, William K. Pratt:
Performance Measures for Transform Data Coding. IEEE Trans. Commun. 20(3): 411-415 (1972) - [j3]C. K. Yuen, Judea Pearl:
Comments on "Application of Walsh Transform to Statistical Analysis". IEEE Trans. Syst. Man Cybern. 2(2): 294 (1972) - 1971
- [j2]Judea Pearl:
Basis-restricted transformations and performance measures for spectral representations (Corresp.). IEEE Trans. Inf. Theory 17(6): 751-752 (1971) - [j1]Judea Pearl:
Application of Walsh Transform to Statistical Analysis. IEEE Trans. Syst. Man Cybern. 1(2): 111-119 (1971)
Conference and Workshop Papers
- 2024
- [c137]Ang Li, Judea Pearl:
Probabilities of Causation with Nonbinary Treatment and Effect. AAAI 2024: 20465-20472 - [c136]Ang Li, Judea Pearl:
Unit Selection with Nonbinary Treatment and Effect. AAAI 2024: 20473-20480 - 2023
- [c135]Ang Li, Judea Pearl:
Probabilities of Causation: Role of Observational Data. AISTATS 2023: 10012-10027 - [c134]Chi Zhang, Karthika Mohan, Judea Pearl:
Causal Inference under Interference and Model Uncertainty. CLeaR 2023: 371-385 - 2022
- [c133]Ang Li, Judea Pearl:
Unit Selection with Causal Diagram. AAAI 2022: 5765-5772 - [c132]Ang Li, Judea Pearl:
Bounds on Causal Effects and Application to High Dimensional Data. AAAI 2022: 5773-5780 - [c131]Scott Mueller, Ang Li, Judea Pearl:
Causes of Effects: Learning Individual Responses from Population Data. IJCAI 2022: 2712-2718 - [c130]Chi Zhang, Karthika Mohan, Judea Pearl:
Causal Inference with Non-IID Data using Linear Graphical Models. NeurIPS 2022 - 2021
- [c129]Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl:
Exploiting Equality Constraints in Causal Inference. AISTATS 2021: 1630-1638 - 2020
- [c128]Chi Zhang, Bryant Chen, Judea Pearl:
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. AAAI 2020: 10318-10325 - 2019
- [c127]Judea Pearl:
What is Causal Inference? AAAI Spring Symposium: Interpretable AI for Well-being 2019 - [c126]Judea Pearl:
The new science of cause and effect, with reflections on data science and artificial intelligence. IEEE BigData 2019: 4 - [c125]Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim:
Sensitivity Analysis of Linear Structural Causal Models. ICML 2019: 1252-1261 - [c124]Ang Li, Judea Pearl:
Unit Selection Based on Counterfactual Logic. IJCAI 2019: 1793-1799 - 2018
- [c123]Karthika Mohan, Felix Thömmes, Judea Pearl:
Estimation with Incomplete Data: The Linear Case. IJCAI 2018: 5082-5088 - [c122]Karthika Mohan, Judea Pearl:
Consistent Estimation given Missing Data. PGM 2018: 284-295 - [c121]Judea Pearl:
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. WSDM 2018: 3 - 2017
- [c120]Andrew Forney, Judea Pearl, Elias Bareinboim:
Counterfactual Data-Fusion for Online Reinforcement Learners. ICML 2017: 1156-1164 - 2016
- [c119]Bryant Chen, Judea Pearl, Elias Bareinboim:
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables. IJCAI 2016: 3577-3583 - 2015
- [c118]Karthika Mohan, Judea Pearl:
Missing Data from a Causal Perspective. AMBN@JSAI-isAI 2015: 184-195 - [c117]Elias Bareinboim, Andrew Forney, Judea Pearl:
Bandits with Unobserved Confounders: A Causal Approach. NIPS 2015: 1342-1350 - [c116]Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl:
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. UAI 2015: 161-170 - [c115]Ilya Shpitser, Karthika Mohan, Judea Pearl:
Missing Data as a Causal and Probabilistic Problem. UAI 2015: 802-811 - 2014
- [c114]Elias Bareinboim, Jin Tian, Judea Pearl:
Recovering from Selection Bias in Causal and Statistical Inference. AAAI 2014: 2410-2416 - [c113]Bryant Chen, Jin Tian, Judea Pearl:
Testable Implications of Linear Structural Equation Models. AAAI 2014: 2424-2430 - [c112]Eunice Yuh-Jie Chen, Judea Pearl:
Random Bayesian networks with bounded indegree. AISTATS 2014: 114-121 - [c111]Karthika Mohan, Judea Pearl:
On the Testability of Models with Missing Data. AISTATS 2014: 643-650 - [c110]Elias Bareinboim, Judea Pearl:
Transportability from Multiple Environments with Limited Experiments: Completeness Results. NIPS 2014: 280-288 - [c109]Karthika Mohan, Judea Pearl:
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data. NIPS 2014: 1520-1528 - 2013
- [c108]Elias Bareinboim, Judea Pearl:
Causal Transportability with Limited Experiments. AAAI 2013: 95-101 - [c107]Elias Bareinboim, Judea Pearl:
Meta-Transportability of Causal Effects: A Formal Approach. AISTATS 2013: 135-143 - [c106]Eunice Yuh-Jie Chen, Judea Pearl:
A simple criterion for controlling selection bias. AISTATS 2013: 170-177 - [c105]Elias Bareinboim, Sanghack Lee, Vasant G. Honavar, Judea Pearl:
Transportability from Multiple Environments with Limited Experiments. NIPS 2013: 136-144 - [c104]Karthika Mohan, Judea Pearl, Jin Tian:
Graphical Models for Inference with Missing Data. NIPS 2013: 1277-1285 - 2012
- [c103]Elias Bareinboim, Judea Pearl:
Transportability of Causal Effects: Completeness Results. AAAI 2012: 698-704 - [c102]Barbara J. Grosz, Edward A. Feigenbaum, Marvin Minsky, Judea Pearl, Raj Reddy:
Human and Machine Intelligence. ACM-TURING 2012: 4:1 - [c101]Judea Pearl:
The Do-Calculus Revisited. UAI 2012: 3-11 - [c100]Elias Bareinboim, Judea Pearl:
Causal Inference by Surrogate Experiments: z-Identifiability. UAI 2012: 113-120 - [c99]Elias Bareinboim, Judea Pearl:
Controlling Selection Bias in Causal Inference. AISTATS 2012: 100-108 - 2011
- [c98]Judea Pearl, Elias Bareinboim:
Transportability of Causal and Statistical Relations: A Formal Approach. AAAI 2011: 247-254 - [c97]Elias Bareinboim, Judea Pearl:
Controlling Selection Bias in Causal Inference. AAAI 2011: 1754-1755 - [c96]Judea Pearl:
The algorithmization of counterfactuals. CogSci 2011 - [c95]Steven A. Sloman, Judea Pearl, Nick Chater, Lance J. Rips, Jim Joyce, Stefan Kaufmann:
On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl. CogSci 2011 - [c94]Elias Bareinboim, Carlos Brito, Judea Pearl:
Local Characterizations of Causal Bayesian Networks. GKR 2011: 1-17 - [c93]Judea Pearl, Elias Bareinboim:
Transportability of Causal and Statistical Relations: A Formal Approach. ICDM Workshops 2011: 540-547 - [c92]Judea Pearl:
The mathematics of causal inference. KDD 2011: 5 - 2010
- [c91]Judea Pearl:
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates. UAI 2010: 417-424 - [c90]Judea Pearl:
On Measurement Bias in Causal Inference. UAI 2010: 425-432 - [c89]Judea Pearl, Azaria Paz:
Confounding Equivalence in Causal Inference. UAI 2010: 433-441 - [c88]Judea Pearl:
Causal Inference. NIPS Causality: Objectives and Assessment 2010: 39-58 - 2009
- [c87]Ilya Shpitser, Judea Pearl:
Effects of Treatment on the Treated: Identification and Generalization. UAI 2009: 514-521 - 2008
- [c86]Ilya Shpitser, Judea Pearl:
Dormant Independence. AAAI 2008: 1081-1087 - 2007
- [c85]Ilya Shpitser, Judea Pearl:
What Counterfactuals Can Be Tested. UAI 2007: 352-359 - 2006
- [c84]Ilya Shpitser, Judea Pearl:
Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models. AAAI 2006: 1219-1226 - [c83]Jin Tian, Changsung Kang, Judea Pearl:
A Characterization of Interventional Distributions in Semi-Markovian Causal Models. AAAI 2006: 1239-1244 - [c82]Carlos Brito, Judea Pearl:
Graphical Condition for Identification in recursive SEM. UAI 2006 - [c81]Ilya Shpitser, Judea Pearl:
Identification of Conditional Interventional Distributions. UAI 2006 - 2005
- [c80]Chen Avin, Ilya Shpitser, Judea Pearl:
Identifiability of Path-Specific Effects. IJCAI 2005: 357-363 - 2004
- [c79]Judea Pearl:
Robustness of Causal Claims. UAI 2004: 446-453 - 2002
- [c78]Carlos Brito, Judea Pearl:
A Graphical Criterion for the Identification of Causal Effects in Linear Models. AAAI/IAAI 2002: 533-538 - [c77]Jin Tian, Judea Pearl:
A General Identification Condition for Causal Effects. AAAI/IAAI 2002: 567-573 - [c76]Jin Tian, Judea Pearl:
A New Characterization of the Experimental Implications of Causal Bayesian Networks. AAAI/IAAI 2002: 574-580 - [c75]Blai Bonet, Judea Pearl:
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation. UAI 2002: 61-68 - [c74]Carlos Brito, Judea Pearl:
Generalized Instrumental Variables. UAI 2002: 85-93 - [c73]Jin Tian, Judea Pearl:
On the Testable Implications of Causal Models with Hidden Variables. UAI 2002: 519-527 - 2001
- [c72]Joseph Y. Halpern, Judea Pearl:
Causes and Explanations: A Structural-Model Approach - Part II: Explanations. IJCAI 2001: 27-34 - [c71]Joseph Y. Halpern, Judea Pearl:
Causes and Explanations: A Structural-Model Approach: Part 1: Causes. UAI 2001: 194-202 - [c70]Judea Pearl:
Direct and Indirect Effects. UAI 2001: 411-420 - [c69]Jin Tian, Judea Pearl:
Causal Discovery from Changes. UAI 2001: 512-521 - 2000
- [c68]Jin Tian, Judea Pearl:
Probabilities of Causation: Bounds and Identification. UAI 2000: 589-598 - 1999
- [c67]Judea Pearl, Peyman Meshkat:
Testing regression models with fewer regressors. AISTATS 1999 - [c66]Judea Pearl:
Reasoning with Cause and Effect. IJCAI 1999: 1437-1449 - 1996
- [c65]David Maxwell Chickering, Judea Pearl:
A Clinician's Tool for Analyzing Non-Compliance. AAAI/IAAI, Vol. 2 1996: 1269-1276 - [c64]Judea Pearl:
Causation, Action and Counterfactuals. TARK 1996: 51-73 - [c63]Judea Pearl, Rina Dechter:
Identifying Independencies in Causal Graphs with Feedback. UAI 1996: 420-426 - 1995
- [c62]Judea Pearl:
A Causal Calculus for Statistical Research. AISTATS 1995: 23-33 - [c61]Sek-Wah Tan, Judea Pearl:
Specificity and Inheritance in Default Reasoning. IJCAI 1995: 1480-1487 - [c60]Alexander Balke, Judea Pearl:
Counterfactuals and Policy Analysis in Structural Models. UAI 1995: 11-18 - [c59]Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl:
Logarithmic-Time Updates and Queries in Probabilistic Networks. UAI 1995: 116-124 - [c58]David Galles, Judea Pearl:
Testing Identifiability of Causal Effects. UAI 1995: 185-195 - [c57]Judea Pearl:
On the Testability of Causal Models With Latent and Instrumental Variables. UAI 1995: 435-443 - [c56]Judea Pearl, James M. Robins:
Probabilistic evaluation of sequential plans from causal models with hidden variables. UAI 1995: 444-453 - 1994
- [c55]Alexander Balke, Judea Pearl:
Probabilistic Evaluation of Counterfactual Queries. AAAI 1994: 230-237 - [c54]Adnan Darwiche, Judea Pearl:
Symbolic Causal Networks. AAAI 1994: 238-244 - [c53]Sek-Wah Tan, Judea Pearl:
Qualitative Decision Theory. AAAI 1994: 928-933 - [c52]Judea Pearl:
Causation, Action and Counterfactuals. ECAI 1994: 826-828 - [c51]Sek-Wah Tan, Judea Pearl:
Specification and Evaluation of Preferences Under Uncertainty. KR 1994: 530-539 - [c50]Adnan Darwiche, Judea Pearl:
On the Logic of iterated Belief Revision. TARK 1994: 5-23 - [c49]Alexander Balke, Judea Pearl:
Counterfactual Probabilities: Computational Methods, Bounds and Applications. UAI 1994: 46-54 - [c48]Dan Geiger, Azaria Paz, Judea Pearl:
On Testing Whether an Embedded Bayesian Network Represents a Probability Model. UAI 1994: 244-252 - [c47]Judea Pearl:
A Probabilistic Calculus of Actions. UAI 1994: 454-462 - 1993
- [c46]Judea Pearl:
From Conditional Oughts to Qualitative Decision Theory. UAI 1993: 12-22 - [c45]Thomas Verma, Judea Pearl:
Deciding Morality of Graphs is NP-complete. UAI 1993: 391-399 - 1992
- [c44]Judea Pearl:
Empirical Semantics for Defeasible Databases. JICSLP 1992: 18-20 - [c43]Moisés Goldszmidt, Judea Pearl:
Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions. KR 1992: 661-672 - [c42]Moisés Goldszmidt, Judea Pearl:
Reasoning with Qualitative Probabilities Can Be Tractable. UAI 1992: 112-120 - [c41]Thomas Verma, Judea Pearl:
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation. UAI 1992: 323-330 - 1991
- [c40]Moisés Goldszmidt, Judea Pearl:
System-Z+: A Formalism for Reasoning with Variable-Strength Defaults. AAAI 1991: 399-404 - [c39]Rina Dechter, Judea Pearl:
Directed Constraint Networks: A Relational Framework for Causal Modeling. IJCAI 1991: 1164-1170 - [c38]Judea Pearl, Thomas Verma:
A Theory of Inferred Causation. KR 1991: 441-452 - 1990
- [c37]Itay Meiri, Judea Pearl, Rina Dechter:
Tree Decomposition with Applications to Constraint Processing. AAAI 1990: 10-16 - [c36]Moisés Goldszmidt, Paul H. Morris, Judea Pearl:
A Maximum Entropy Approach to Nonmonotonic Reasoning. AAAI 1990: 646-652 - [c35]Dan Geiger, Azaria Paz, Judea Pearl:
Learning Causal Trees from Dependence Information. AAAI 1990: 770-776 - [c34]Judea Pearl:
System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning. TARK 1990: 121-135 - [c33]Thomas Verma, Judea Pearl:
Equivalence and synthesis of causal models. UAI 1990: 255-270 - 1989
- [c32]Judea Pearl, Rina Dechter:
Learning Structure from Data: A Survey. COLT 1989: 230-244 - [c31]Rina Dechter, Itay Meiri, Judea Pearl:
Temporal Constraint Networks. KR 1989: 83-93 - [c30]Judea Pearl:
Probabilistic Semantics for Nonmonotonic Reasoning: A Survey. KR 1989: 505-516 - [c29]Moisés Goldszmidt, Judea Pearl:
Deciding Consistency of Databases Containing Defeasible and Strict Information. UAI 1989: 87-98 - [c28]Dan Geiger, Thomas Verma, Judea Pearl:
d-Separation: From Theorems to Algorithms. UAI 1989: 139-148 - 1988
- [c27]Rina Dechter, Judea Pearl:
Tree-Clustering Schemes for Constraint-Processing. AAAI 1988: 150-154 - [c26]Dan Geiger, Judea Pearl:
On the logic of causal models. UAI 1988: 3-14 - [c25]Thomas Verma, Judea Pearl:
Causal networks: semantics and expressiveness. UAI 1988: 69-78 - 1987
- [c24]Judea Pearl:
Embracing Causality in Formal Reasoning. AAAI 1987: 369-373 - [c23]Judea Pearl, Thomas Verma:
The Logic of Representing Dependencies by Directed Graphs. AAAI 1987: 374-379 - [c22]Hector Geffner, Judea Pearl:
An Improved Constraint-Propagation Algorithm for Diagnosis. IJCAI 1987: 1105-1111 - [c21]George Rebane, Judea Pearl:
The Recovery of Causal Poly-Trees from Statistical Data. UAI 1987: 175-182 - [c20]Lei Xu, Judea Pearl:
Structuring Causal Tree Models with Continuous Variables. UAI 1987: 209-222 - 1986
- [c19]Judea Pearl:
On the Logic of Probabilistic Dependencies. AAAI 1986: 339-343 - [c18]Ingrid Zukerman, Judea Pearl:
Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring. AAAI 1986: 606-611 - [c17]Judea Pearl, Azaria Paz:
Graphoids: Graph-Based Logic for Reasoning about Relevance Relations or When would x tell you more about y if you already know z? ECAI 1986: 357-363 - [c16]Judea Pearl:
Probabilistic reasoning using graphs. IPMU 1986: 200-202 - [c15]Judea Pearl:
Distributedrevision of belief commitment in composite explanations. UAI 1986: 291-316 - 1985
- [c14]Judea Pearl:
How to Do with Probabilities What People Say You Can't. CAIA 1985: 6-12 - [c13]Judea Pearl:
Learning Hidden Causes from Empirical Data. IJCAI 1985: 567-572 - [c12]Rina Dechter, Judea Pearl:
The Anatomy of Easy Problems: A Constraint-Satisfaction Formulation. IJCAI 1985: 1066-1072 - [c11]Judea Pearl:
A Constraint-Propagation Approach to Probabilistic Reasoning. UAI 1985: 357-370 - 1983
- [c10]Rina Dechter, Judea Pearl:
The Optimality of A* Revisited. AAAI 1983: 95-99 - [c9]Jin H. Kim, Judea Pearl:
A Computational Model for Causal and Diagnostic Reasoning in Inference Systems. IJCAI 1983: 190-193 - 1982
- [c8]Judea Pearl:
Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach. AAAI 1982: 133-136 - [c7]Judea Pearl:
The Utility of Precision in Search Heuristics. ECAI 1982: 177-179 - 1981
- [c6]Judea Pearl:
The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm. ICALP 1981: 521-529 - [c5]Judea Pearl:
Heuristic Search Theory: Survey of Recent Results. IJCAI 1981: 554-562 - 1980
- [c4]Judea Pearl:
SCOUT: A Simple Game-Searching Algorithm with Proven Optimal Properties. AAAI 1980: 143-145 - [c3]Judea Pearl:
Asymptotic Complexity of Game-Searching Procedures. MFCS 1980: 474-487 - 1977
- [c2]Antonio Leal, Judea Pearl:
An Interactive Program for Conversational Elecitation of Decision Structures. IJCAI 1977: 336 - 1975
- [c1]Judea Pearl:
On The Storage Economy Of Error-Tolerating Question-Answering Systems. IJCAI 1975: 562-568
Parts in Books or Collections
- 2022
- [p23]Judea Pearl:
Turing Award Lecture. Probabilistic and Causal Inference 2022: 11-28 - [p22]Judea Pearl:
Heuristics - Introduction. Probabilistic and Causal Inference 2022: 57-60 - [p21]Judea Pearl:
Asymptotic Properties of Minimax Trees and Game-Searching Procedures. Probabilistic and Causal Inference 2022: 61-90 - [p20]Judea Pearl:
The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality. Probabilistic and Causal Inference 2022: 91-102 - [p19]Judea Pearl:
On the Discovery and Generation of Certain Heuristics. Probabilistic and Causal Inference 2022: 103-122 - [p18]Judea Pearl:
Probabilities - Introduction. Probabilistic and Causal Inference 2022: 123-128 - [p17]Judea Pearl:
Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach. Probabilistic and Causal Inference 2022: 129-138 - [p16]Judea Pearl:
Fusion, Propagation, and Structuring in Belief Networks. Probabilistic and Causal Inference 2022: 139-188 - [p15]Judea Pearl, Azaria Paz:
GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations OrWhen Would x Tell You More about y If You Already Know z? Probabilistic and Causal Inference 2022: 189-200 - [p14]Judea Pearl:
System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning. Probabilistic and Causal Inference 2022: 201-214 - [p13]Judea Pearl:
Causality 1988-2001 - Introduction. Probabilistic and Causal Inference 2022: 215-220 - [p12]Thomas Verma, Judea Pearl:
Equivalence and Synthesis of Causal Models. Probabilistic and Causal Inference 2022: 221-236 - [p11]Alexander Balke, Judea Pearl:
Probabilistic Evaluation of Counterfactual Queries. Probabilistic and Causal Inference 2022: 237-254 - [p10]Judea Pearl:
Causal Diagrams for Empirical Research (With Discussions). Probabilistic and Causal Inference 2022: 255-316 - [p9]Judea Pearl:
Probabilities of Causation: Three Counterfactual Interpretations and Their Identification. Probabilistic and Causal Inference 2022: 317-372 - [p8]Judea Pearl:
Direct and Indirect Effects. Probabilistic and Causal Inference 2022: 373-392 - [p7]Judea Pearl:
Causality 2002-2020 - Introduction. Probabilistic and Causal Inference 2022: 393-398 - [p6]Judea Pearl:
Comment: Understanding Simpson's Paradox. Probabilistic and Causal Inference 2022: 399-412 - [p5]Karthika Mohan, Judea Pearl:
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data. Probabilistic and Causal Inference 2022: 413-432 - [p4]Elias Bareinboim, Jin Tian, Judea Pearl:
Recovering from Selection Bias in Causal and Statistical Inference. Probabilistic and Causal Inference 2022: 433-450 - [p3]Judea Pearl, Elias Bareinboim:
External Validity: From Do-Calculus to Transportability Across Populations. Probabilistic and Causal Inference 2022: 451-482 - [p2]Judea Pearl:
Detecting Latent Heterogeneity. Probabilistic and Causal Inference 2022: 483-506 - 2014
- [p1]Judea Pearl:
Graphical Models for Probabilistic and Causal Reasoning. Computing Handbook, 3rd ed. (1) 2014: 44: 1-24
Reference Works
- 2011
- [r2]Sander Greenland, Judea Pearl:
Causal Diagrams. International Encyclopedia of Statistical Science 2011: 208-216 - 1997
- [r1]Judea Pearl:
Graphical Models for Probabilistic and Causal Reasoning. The Computer Science and Engineering Handbook 1997: 697-714
Informal and Other Publications
- 2023
- [i61]Ang Li, Scott Mueller, Judea Pearl:
Epsilon-Identifiability of Causal Quantities. CoRR abs/2301.12022 (2023) - 2022
- [i60]Scott Mueller, Judea Pearl:
Personalized Decision Making - A Conceptual Introduction. CoRR abs/2208.09558 (2022) - [i59]Ang Li, Judea Pearl:
Probabilities of Causation with Nonbinary Treatment and Effect. CoRR abs/2208.09568 (2022) - [i58]Ang Li, Judea Pearl:
Unit Selection with Nonbinary Treatment and Effect. CoRR abs/2208.09569 (2022) - [i57]Ang Li, Ruirui Mao, Judea Pearl:
Probabilities of Causation: Adequate Size of Experimental and Observational Samples. CoRR abs/2210.05027 (2022) - [i56]Ang Li, Judea Pearl:
Unit Selection: Case Study and Comparison with A/B Test Heuristic. CoRR abs/2210.05030 (2022) - [i55]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Unit Selection: Learning Benefit Function from Finite Population Data. CoRR abs/2210.08203 (2022) - [i54]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Learning Probabilities of Causation from Finite Population Data. CoRR abs/2210.08453 (2022) - [i53]Ang Li, Judea Pearl:
Probabilities of Causation: Role of Observational Data. CoRR abs/2210.08874 (2022) - 2021
- [i52]Scott Mueller, Ang Li, Judea Pearl:
Causes of Effects: Learning individual responses from population data. CoRR abs/2104.13730 (2021) - [i51]Ang Li, Judea Pearl:
Bounds on Causal Effects and Application to High Dimensional Data. CoRR abs/2106.12121 (2021) - [i50]Ang Li, Judea Pearl:
Unit Selection with Causal Diagram. CoRR abs/2109.07556 (2021) - 2018
- [i49]Judea Pearl:
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. CoRR abs/1801.04016 (2018) - 2015
- [i48]Judea Pearl, Elias Bareinboim:
External Validity: From Do-Calculus to Transportability Across Populations. CoRR abs/1503.01603 (2015) - [i47]Bryant Chen, Judea Pearl, Elias Bareinboim:
Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models. CoRR abs/1511.02995 (2015) - 2014
- [i46]Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl:
Logarithmic-Time Updates and Queries in Probabilistic Networks. CoRR abs/1408.1479 (2014) - [i45]Guy Van den Broeck, Karthika Mohan, Arthur Choi, Judea Pearl:
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. CoRR abs/1411.7014 (2014) - 2013
- [i44]Blai Bonet, Judea Pearl:
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation. CoRR abs/1301.0557 (2013) - [i43]Carlos Brito, Judea Pearl:
Generalized Instrumental Variables. CoRR abs/1301.0560 (2013) - [i42]Jin Tian, Judea Pearl:
On the Testable Implications of Causal Models with Hidden Variables. CoRR abs/1301.0608 (2013) - [i41]Joseph Y. Halpern, Judea Pearl:
Causes and Explanations: A Structural-Model Approach --- Part 1: Causes. CoRR abs/1301.2275 (2013) - [i40]Judea Pearl:
Direct and Indirect Effects. CoRR abs/1301.2300 (2013) - [i39]Jin Tian, Judea Pearl:
Causal Discovery from Changes. CoRR abs/1301.2312 (2013) - [i38]Jin Tian, Judea Pearl:
Probabilities of Causation: Bounds and Identification. CoRR abs/1301.3898 (2013) - [i37]Judea Pearl, Rina Dechter:
Identifying Independencies in Causal Graphs with Feedback. CoRR abs/1302.3595 (2013) - [i36]Alexander Balke, Judea Pearl:
Counterfactuals and Policy Analysis in Structural Models. CoRR abs/1302.4929 (2013) - [i35]David Galles, Judea Pearl:
Testing Identifiability of Causal Effects. CoRR abs/1302.4948 (2013) - [i34]Judea Pearl:
On the Testability of Causal Models with Latent and Instrumental Variables. CoRR abs/1302.4976 (2013) - [i33]Judea Pearl, James M. Robins:
Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables. CoRR abs/1302.4977 (2013) - [i32]Alexander Balke, Judea Pearl:
Counterfactual Probabilities: Computational Methods, Bounds and Applications. CoRR abs/1302.6784 (2013) - [i31]Dan Geiger, Azaria Paz, Judea Pearl:
On Testing Whether an Embedded Bayesian Network Represents a Probability Model. CoRR abs/1302.6809 (2013) - [i30]Judea Pearl:
A Probabilistic Calculus of Actions. CoRR abs/1302.6835 (2013) - [i29]Judea Pearl:
From Conditional Oughts to Qualitative Decision Theory. CoRR abs/1303.1455 (2013) - [i28]Tom S. Verma, Judea Pearl:
Deciding Morality of Graphs is NP-complete. CoRR abs/1303.1501 (2013) - [i27]Moisés Goldszmidt, Judea Pearl:
Reasoning With Qualitative Probabilities Can Be Tractable. CoRR abs/1303.5406 (2013) - [i26]Tom S. Verma, Judea Pearl:
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation. CoRR abs/1303.5435 (2013) - [i25]Tom S. Verma, Judea Pearl:
On the Equivalence of Causal Models. CoRR abs/1304.1108 (2013) - [i24]Dan Geiger, Tom S. Verma, Judea Pearl:
d-Separation: From Theorems to Algorithms. CoRR abs/1304.1505 (2013) - [i23]Moisés Goldszmidt, Judea Pearl:
Deciding Consistency of Databases Containing Defeasible and Strict Information. CoRR abs/1304.1507 (2013) - [i22]Dan Geiger, Judea Pearl:
On the Logic of Causal Models. CoRR abs/1304.2355 (2013) - [i21]Tom S. Verma, Judea Pearl:
Causal Networks: Semantics and Expressiveness. CoRR abs/1304.2379 (2013) - [i20]Judea Pearl:
Do We Need Higher-Order Probabilities and, If So, What Do They Mean? CoRR abs/1304.2716 (2013) - [i19]Lei Xu, Judea Pearl:
Structuring Causal Tree Models with Continuous Variables. CoRR abs/1304.2730 (2013) - [i18]George Rebane, Judea Pearl:
The Recovery of Causal Poly-Trees from Statistical Data. CoRR abs/1304.2736 (2013) - [i17]Judea Pearl:
Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations. CoRR abs/1304.3102 (2013) - [i16]Igor Roizen, Judea Pearl:
Learning Link-Probabilities in Causal Trees. CoRR abs/1304.3103 (2013) - [i15]Judea Pearl:
A Constraint Propagation Approach to Probabilistic Reasoning. CoRR abs/1304.3422 (2013) - [i14]Elias Bareinboim, Judea Pearl:
A General Algorithm for Deciding Transportability of Experimental Results. CoRR abs/1312.7485 (2013) - 2012
- [i13]Judea Pearl:
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates. CoRR abs/1203.3503 (2012) - [i12]Judea Pearl:
On Measurement Bias in Causal Inference. CoRR abs/1203.3504 (2012) - [i11]Judea Pearl, Azaria Paz:
Confounding Equivalence in Causal Inference. CoRR abs/1203.3505 (2012) - [i10]Ilya Shpitser, Judea Pearl:
Effects of Treatment on the Treated: Identification and Generalization. CoRR abs/1205.2615 (2012) - [i9]Ilya Shpitser, Judea Pearl:
What Counterfactuals Can Be Tested. CoRR abs/1206.5294 (2012) - [i8]Carlos Brito, Judea Pearl:
Graphical Condition for Identification in recursive SEM. CoRR abs/1206.6821 (2012) - [i7]Ilya Shpitser, Judea Pearl:
Identification of Conditional Interventional Distributions. CoRR abs/1206.6876 (2012) - [i6]Judea Pearl:
Robustness of Causal Claims. CoRR abs/1207.4173 (2012) - [i5]Elias Bareinboim, Judea Pearl:
Causal Inference by Surrogate Experiments: z-Identifiability. CoRR abs/1210.4842 (2012) - [i4]Judea Pearl:
The Do-Calculus Revisited. CoRR abs/1210.4852 (2012) - 2002
- [i3]Joseph Y. Halpern, Judea Pearl:
Causes and Explanations: A Structural-Model Approach. Part II: Explanations. CoRR cs.AI/0208034 (2002) - 2000
- [i2]Joseph Y. Halpern, Judea Pearl:
Causes and Explanations: A Structural-Model Approach, Part I: Causes. CoRR cs.AI/0011012 (2000) - 1996
- [i1]Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl:
Logarithmic-Time Updates and Queries in Probabilistic Networks. CoRR cs.AI/9602102 (1996)
Coauthor Index
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