Adele H. Ribeiro — accepted AI-conference papers

2023

Causal Effect Identification in Cluster DAGs

Tara V. Anand, Adele H. Ribeiro, Jin Tian, Elias Bareinboim

AAAI 2023technical

Reasoning about the effect of interventions and counterfactuals is a fundamental task found throughout the data sciences. A collection of principles, algorithms, and tools has been developed for performing such tasks in the last decades. One of the pervasive requirements found throughout this liter…

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2022

Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness

Amin Jaber, Adele H Ribeiro, Jiji Zhang, Elias Bareinboim

NeurIPS 2022accept

One common task in many data sciences applications is to answer questions about the effect of new interventions, like: `what would happen to $Y$ if we make $X$ equal to $x$ while observing covariates $Z=z$?'. Formally, this is known as conditional effect identification, where the goal is to determin…

Cited by 21 Source ↗PDF ↗Scholar ↗