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Anti-discrimination learning: a causal modeling-based framework

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References

2012Fairness through awareness3,501 cited
2014Big Data's Disparate Impact3,046 cited
2016Equality of Opportunity in Supervised Learning2,535 cited
2015Certifying and Removing Disparate Impact1,827 cited
2011Data preprocessing techniques for classification without discrimination1,304 cited
2013Learning Fair Representations1,126 cited
2010Three naive Bayes approaches for discrimination-free classification756 cited
2008Discrimination-aware data mining676 cited
1975Sex Bias in Graduate Admissions: Data from Berkeley659 cited
2017Measuring Fairness in Ranked Outputs378 cited
2011Fairness-aware Learning through Regularization Approach375 cited
2012A Methodology for Direct and Indirect Discrimination Prevention in Data Mining308 cited
2010Discrimination Aware Decision Tree Learning303 cited
2013A multidisciplinary survey on discrimination analysis288 cited
2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited
2009Measuring Discrimination in Socially-Sensitive Decision Records

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175 cited

Cited by

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2020Fairness through Equality of Effort23 cited
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2019Debiasing Vandalism Detection Models at Wikidata17 cited
2019Path-Specific Counterfactual Fairness16 cited