475 citations · 1.2k across the 20 of their papers we have counts for
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stat.ML2018★ 475 cited
Actionable Recourse in Linear Classification
Berk Ustun, Alexander Spangher, Yang Liu
Machine learning models are increasingly used to automate decisions that affect humans - deciding who should receive a loan, a job interview, or a social service. In such applicati…
cs.IT2018★ 1 cited
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning
Hao Wang, Berk Ustun, Flavio P. Calmon
In the context of machine learning, disparate impact refers to a form of systematic discrimination whereby the output distribution of a model depends on the value of a sensitive at…