References

• 2012Fairness through awareness3,501 cited
• 2016Equality of Opportunity in Supervised Learning2,535 cited
• 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
• 2011Data preprocessing techniques for classification without discrimination1,304 cited
• 2018Fairness definitions explained1,125 cited
• 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
• 2014A data-driven approach to predict the success of bank telemarketing875 cited
• 2012Robust Solutions of Optimization Problems Affected by Uncertain Probabilities752 cited
• 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
• 2018A Reductions Approach to Fair Classification364 cited
• 2021Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach195 cited
• 2021Just Train Twice: Improving Group Robustness without Training Group Information138 cited
• 2020Learning from Failure: De-biasing Classifier from Biased Classifier120 cited
• 2021Fair Mixup: Fairness via Interpolation65 cited
• 2019Training individually fair ML models with Sensitive Subspace Robustness