Judea Pearl
27 papers · 2008–2024 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Keyword Trendsetter Combo
(4)
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Keyword Champion
(2)
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Deep Specialist
(23)
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Trend Setter
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
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Keyword Collector
(95)
Top co-authors
Research topics
Artificial Intelligence
(25)
Core AI
(23)
Machine Learning
(21)
Knowledge & Reasoning
(13)
Reasoning
(13)
Learning Types
(12)
Optimization & Theory
(10)
Mathematics & Optimization
(7)
Core Methods
(7)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Application Areas
(5)
Mathematics
(5)
Learning Paradigms
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization
(2)
Keywords
causal inference
(21)
graphical model
(11)
observational data
(8)
causal effect
(6)
missing data
(5)
treatment effect
(4)
linear model
(3)
domain adaptation
(3)
unit selection
(3)
counterfactual reasoning
(3)
instrumental variable
(2)
causal identification
(2)
missing not at random
(2)
unobserved confounder
(2)
structural causal model
(2)
selection bia
(2)
treatment effect estimation
(2)
sensitivity analysis
(2)
probabilistic modeling
(2)
multi-armed bandit
(2)
Papers
Probabilities of Causation with Nonbinary Treatment and Effect
AAAI 2024
Unit Selection with Nonbinary Treatment and Effect
AAAI 2024
Causal Inference under Interference and Model Uncertainty
CLeaR 2023
Probabilities of Causation: Role of Observational Data
AISTATS 2023
Bounds on Causal Effects and Application to High Dimensional Data
AAAI 2022
Causal Inference with Non-IID Data using Linear Graphical Models
NeurIPS 2022
Causes of Effects: Learning Individual Responses from Population Data
IJCAI 2022
Unit Selection with Causal Diagram
AAAI 2022
Exploiting Equality Constraints in Causal Inference
AISTATS 2021
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
AAAI 2020
Sensitivity Analysis of Linear Structural Causal Models
ICML 2019
Unit Selection Based on Counterfactual Logic
IJCAI 2019
Consistent Estimation given Missing Data
PGM 2018
Estimation with Incomplete Data: The Linear Case
IJCAI 2018
Counterfactual Data-Fusion for Online Reinforcement Learners
ICML 2017
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables
IJCAI 2016
Bandits with Unobserved Confounders: A Causal Approach
NeurIPS 2015
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
NeurIPS 2014
On the Testability of Models with Missing Data
AISTATS 2014
Random Bayesian networks with bounded indegree
AISTATS 2014
Transportability from Multiple Environments with Limited Experiments: Completeness Results
NeurIPS 2014
A simple criterion for controlling selection bias
AISTATS 2013
Graphical Models for Inference with Missing Data
NeurIPS 2013
Meta-Transportability of Causal Effects: A Formal Approach
AISTATS 2013
Transportability from Multiple Environments with Limited Experiments
NeurIPS 2013
Controlling Selection Bias in Causal Inference
AISTATS 2012
Complete Identification Methods for the Causal Hierarchy
JMLR 2008