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Actionable Recourse in Linear Classification

ustunb/actionable-recourse 18 Sep 2018

We present integer programming tools to ensure recourse in linear classification problems without interfering in model development.

Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria

yl489/social-bias-meets-data-bias 31 May 2022

We consider two forms of dataset bias: errors by prior decision makers in the labeling process, and errors in measurement of the features of disadvantaged individuals.