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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.ML2019
Rarely-switching linear bandits: optimization of causal effects for the real world
Benjamin Lansdell, Sofia Triantafillou, Konrad Kording
Excessively changing policies in many real world scenarios is difficult, unethical, or expensive. After all, doctor guidelines, tax codes, and price lists can only be reprinted so…