351 citations · 2k across the 57 of their papers we have counts for
61 papers
General sample size analysis for probabilities of causation: a delta method approach
Tianyuan Cheng, Ruirui Mao, Judea Pearl +1
Probabilities of causation (PoCs), such as the probability of necessity and sufficiency (PNS), are important tools for decision making but are generally not point identifiable. Exi…
Learning Probabilities of Causation with Mask-Augmented Data
Shuai Wang, Yizhou Sun, Judea Pearl +1
Probabilities of causation play a central role in modern decision making. Tian and Pearl first introduced formal definitions and derived tight bounds for three binary probabilities…
Epsilon-Identifiability of Causal Quantities
Ang Li, Scott Mueller, Judea Pearl
Identifying the effects of causes and causes of effects is vital in virtually every scientific field. Often, however, the needed probabilities may not be fully identifiable from th…
Probabilities of Causation: Role of Observational Data
Ang Li, Judea Pearl
Probabilities of causation play a crucial role in modern decision-making. Pearl defined three binary probabilities of causation, the probability of necessity and sufficiency (PNS),…
Unit Selection: Learning Benefit Function from Finite Population Data
Ang Li, Song Jiang, Yizhou Sun +1
The unit selection problem is to identify a group of individuals who are most likely to exhibit a desired mode of behavior, for example, selecting individuals who would respond one…
Unit Selection: Case Study and Comparison with A/B Test Heuristic
Ang Li, Judea Pearl
The unit selection problem defined by Li and Pearl identifies individuals who have desired counterfactual behavior patterns, for example, individuals who would respond positively i…