3 citations · 3 across the 1 of their papers we have counts for
2 papers
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…
stat.ME2020
Learning Adjustment Sets from Observational and Limited Experimental Data
Sofia Triantafillou, Gregory Cooper
Estimating causal effects from observational data is not always possible due to confounding. Identifying a set of appropriate covariates (adjustment set) and adjusting for their in…