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Cited by

• 2018Online Learning with an Unknown Fairness Metric73 cited
• 2021On the Applicability of Machine Learning Fairness Notions72 cited
• 2021Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics71 cited
• 2021Machine learning fairness notions: Bridging the gap with real-world applications60 cited
• 2022Ethically Responsible Machine Learning in Fintech55 cited
• 2019Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems55 cited
• 2017Calibration for the (Computationally-Identifiable) Masses44 cited
• 2023A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges40 cited
• 2018Probably Approximately Metric-Fair Learning40 cited
• 2023Survey on fairness notions and related tensions38 cited
• 2019Eliciting and Enforcing Subjective Individual Fairness.37 cited
• 2020Two Simple Ways to Learn Individual Fairness Metrics from Data33 cited
• 2019Noise-tolerant fair classification32 cited
• 2023Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling29 cited