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Learning Fair Classifiers: A Regularization-Inspired Approach.

11 references·8 citing·32 second hopsampled

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References

2012Fairness through awareness3,545 cited
2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,853 cited
2015Certifying and Removing Disparate Impact1,827 cited
2013Learning Fair Representations1,155 cited
2018Fairness in Criminal Justice Risk Assessments: The State of the Art1,031 cited
2013Discrimination in online ad delivery784 cited
2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
2011Fairness-aware Learning through Regularization Approach375 cited
2015Precinct or Prejudice? Understanding Racial Disparities in New York City's Stop-and-Frisk Policy286 cited
2017Learning Non-Discriminatory Predictors182 cited

Cited by

2022A Review on Fairness in Machine Learning620 cited
2018Learning Adversarially Fair and Transferable Representations431 cited
2021The fairness‐accuracy Pareto front27 cited
2022A review of causality-based fairness machine learning24 cited

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2018FNNC: Achieving Fairness through Neural Networks20 cited

2020Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints15 cited

2024Fair Feature Selection: A Causal Perspective14 cited

2019Loss-Aversively Fair Classification12 cited