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Cited by

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• 2020Fairness for Robust Log Loss Classification42 cited
• 2019Costs and Benefits of Fair Representation Learning41 cited
• 2021Robust Fairness Under Covariate Shift40 cited
• 2019Adversarial Removal of Demographic Attributes Revisited37 cited
• 2021Socially Responsible AI Algorithms: Issues, Purposes, and Challenges33 cited
• 2019Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements30 cited
• 2020General Fair Empirical Risk Minimization29 cited
• 2022An information theoretic approach to reducing algorithmic bias for machine learning27 cited
• 2022Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱