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stat.ML2025
Transportability without Graphs: A Bayesian Approach to Identifying s-Admissible Backdoor Sets
Konstantina Lelova, Gregory F. Cooper, Sofia Triantafillou
Transporting causal information across populations is a critical challenge in clinical decision-making. Causal modeling provides criteria for identifiability and transportability,…
stat.ML2021★ 3 cited
Causal Markov Boundaries
Sofia Triantafillou, Fattaneh Jabbari, Greg Cooper
Feature selection is an important problem in machine learning, which aims to select variables that lead to an optimal predictive model. In this paper, we focus on feature selection…