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Pearl, Judea

  1. Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
    2018/01/11 by Judea Pearl, Pearl, Judea · 1 voice · 4 citations
    #cs.LG #cs.AI #stat.ML
  2. Direct and Indirect Effects
    2013/01/10 by Pearl, Judea · 43 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Methodology (stat.ME)
  3. Causes and Explanations: A Structural-Model Approach, Part I: Causes
    2000/11/07 by Halpern, Joseph Y., Pearl, Judea · 11 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.4
  4. Probabilities of Causation: Bounds and Identification
    2013/01/16 by Tian, Jin, Pearl, Judea · 11 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  5. Graphical Models for Processing Missing Data
    2018/01/10 by Mohan, Karthika, Pearl, Judea · 10 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  6. Causal Discovery from Changes
    2013/01/10 by Jin Tian, Tian, Jin, Judea Pearl +1 · 10 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #Rough Sets and Fuzzy Logic
  7. Counterfactual Probabilities: Computational Methods, Bounds and Applications
    2013/02/27 by Balke, Alexander, Pearl, Judea · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  8. Causes and Explanations: A Structural-Model Approach. Part II: Explanations
    2002/08/20 by Halpern, Joseph Y., Pearl, Judea · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.4
  9. What Counterfactuals Can Be Tested
    2012/06/20 by Shpitser, Ilya, Pearl, Judea · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  10. Identification of Conditional Interventional Distributions
    2012/06/27 by Ilya Shpitser, Shpitser, Ilya, Judea Pearl +1 · 5 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Statistical Methods and Inference #Advanced Causal Inference Techniques
  11. Causal Networks: Semantics and Expressiveness
    2013/03/27 by Verma, Tom S., Pearl, Judea · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  12. Personalized Decision Making -- A Conceptual Introduction
    2022/08/19 by Mueller, Scott, Pearl, Judea · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Methodology (stat.ME)
  13. On Measurement Bias in Causal Inference
    2012/03/15 by Judea Pearl, Pearl, Judea · 4 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Advanced Causal Inference Techniques #Statistical Methods and Inference
  14. Causal Inference by Surrogate Experiments: z-Identifiability
    2012/10/16 by Bareinboim, Elias, Pearl, Judea · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Methodology (stat.ME)
  15. Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables
    2013/02/20 by Pearl, Judea, Robins, James M. · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  16. Causes of Effects: Learning individual responses from population data
    2021/04/28 by Scott N. Mueller, Ang Li, Mueller, Scott +3 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  17. Confounding Equivalence in Causal Inference
    2012/03/15 by Pearl, Judea, Paz, Azaria · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Methodology (stat.ME)
  18. Graphical Condition for Identification in recursive SEM
    2012/06/27 by Brito, Carlos, Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Methodology (stat.ME)
  19. The Do-Calculus Revisited
    2012/10/16 by Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Methodology (stat.ME)
  20. On the Testability of Causal Models with Latent and Instrumental Variables
    2013/02/20 by Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  21. A Probabilistic Calculus of Actions
    2013/02/27 by Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  22. Counterfactuals and Policy Analysis in Structural Models
    2013/02/20 by Balke, Alexander, Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  23. On the Testable Implications of Causal Models with Hidden Variables
    2012/12/12 by Tian, Jin, Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  24. The Recovery of Causal Poly-Trees from Statistical Data
    2013/03/27 by Rebane, George, Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  25. Incorporating Knowledge into Structural Equation Models using Auxiliary\n Variables
    2015/11/10 by Bryant Chen, Judea Pearl, Chen, Bryant +3 · 1 citation
    Computer Science · Mathematics · Biochemistry, Genetics and Molecular Biology · #Bayesian Modeling and Causal Inference #Advanced Causal Inference Techniques #Metabolomics and Mass Spectrometry Studies
  26. Probabilities of Causation with Nonbinary Treatment and Effect
    2022/08/19 by Ang Li, Li, Ang, Judea Pearl +1 · 1 citation
    Arts and Humanities · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Philosophy and History of Science #Statistical Methods in Clinical Trials
  27. Probabilities of Causation: Role of Observational Data
    2022/10/17 by Li, Ang, Pearl, Judea · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences