← Authors

Judea Pearl

27 papers · 2008–2024 · 8 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) 🌟 Keyword Trendsetter Combo (3) πŸ”¬ Deep Specialist (23) πŸ† Keyword Champion (3) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ’Ž Century Club (27) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (91) πŸ”₯ Unstoppable (13)

Conferences

AISTATS (7) NIPS (6) AAAI (5) IJCAI (4) ICML (2) CLEAR (1) JMLR (1) PGM (1)

Top co-authors

Elias Bareinboim (8) Karthika Mohan (7) Ang Li (7) Chi Zhang (4) Bryant Chen (4) Andrew Forney (2) Carlos Cinelli (2) Eunice Yuh-Jie Chen (2) Jin Tian (1) Daniel Kumor (1)

Research topics

Statistics (1) Probability (1)

Keywords

causal inference (21) graphical model (11) observational datum (7) causal effect (6) missing datum (5) treatment effect (4) linear model (3) unit selection (3) counterfactual reasoning (3) domain adaptation (3) causal identification (2) probabilistic modeling (2) structural causal model (2) sensitivity analysis (2) unobserved confounder (2) multi-armed bandit (2) missing data (2) do-calculus (2) treatment effect estimation (2) selection bia (2)

Papers

Unit Selection with Nonbinary Treatment and Effect AAAI 2024
Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024
Probabilities of Causation: Role of Observational Data AISTATS 2023
Causal Inference under Interference and Model Uncertainty CLEAR 2023
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022
Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022
Causal Inference with Non-IID Data using Linear Graphical Models NIPS 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 NIPS 2015
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 NIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
A simple criterion for controlling selection bias AISTATS 2013
Graphical Models for Inference with Missing Data NIPS 2013
Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013
Transportability from Multiple Environments with Limited Experiments NIPS 2013
Controlling Selection Bias in Causal Inference AISTATS 2012
Complete Identification Methods for the Causal Hierarchy JMLR 2008