Efficient Learning in Linearly Solvable MDP Models. - Ang Li 009; Paul R. Schrater (IJCAI, 2013)

Unit Selection Based on Counterfactual Logic. - Ang Li 009; Judea Pearl (IJCAI, 2019)

Training Machine Learning Models With Causal Logic. - Ang Li 009; Suming J. Chen; Jingzheng Qin; Zhen Qin 001 (WWW (Companion Volume), 2020)

Unit Selection with Causal Diagram. - Ang Li 009; Judea Pearl (AAAI, 2022)

Bounds on Causal Effects and Application to High Dimensional Data. - Ang Li 009; Judea Pearl (AAAI, 2022)

Causes of Effects: Learning Individual Responses from Population Data. - Scott Mueller; Ang Li 009; Judea Pearl (IJCAI, 2022)

Probabilities of Causation: Adequate Size of Experimental and Observational Samples. - Ang Li 009; Ruirui Mao; Judea Pearl (CoRR, 2022)

Unit Selection: Case Study and Comparison with A/B Test Heuristic. - Ang Li 009; Judea Pearl (CoRR, 2022)

Unit Selection: Learning Benefit Function from Finite Population Data. - Ang Li 009; Song Jiang 002; Yizhou Sun; Judea Pearl (CoRR, 2022)

Learning Probabilities of Causation from Finite Population Data. - Ang Li 009; Song Jiang 002; Yizhou Sun; Judea Pearl (CoRR, 2022)

Probabilities of Causation: Role of Observational Data. - Ang Li 009; Judea Pearl (AISTATS, 2023)

Epsilon-Identifiability of Causal Quantities. - Ang Li 009; Scott Mueller; Judea Pearl (CoRR, 2023)

Probabilities of Causation with Nonbinary Treatment and Effect. - Ang Li 009; Judea Pearl (AAAI, 2024)

Unit Selection with Nonbinary Treatment and Effect. - Ang Li 009; Judea Pearl (AAAI, 2024)

Learning Probabilities of Causation from Finite Population Data. - Shuai Wang; Song Jiang 002; Yizhou Sun; Judea Pearl; Ang Li 009 (CoRR, 2025)