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20182026
most citedLearning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy

23 citations · 70 across the 12 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Learning Optimal Prescriptive Trees from Observational Data

Nathanael Jo, Sina Aghaei, Andrés Gómez +1

We consider the problem of learning an optimal prescriptive tree (i.e., an interpretable treatment assignment policy in the form of a binary tree) of moderate depth, from observati…

cs.LG2021★ 15 cited

Strong Optimal Classification Trees

Sina Aghaei, Andrés Gómez, Phebe Vayanos

Decision trees are among the most popular machine learning models and are used routinely in applications ranging from revenue management and medicine to bioinformatics. In this pap…