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Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
16 references·1 citing·32 second hop
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints (2020)Learning Fair Scoring Functions: Bipartit…The Age of Secrecy and Unfairness in Recidivism Prediction (2020)The Age of Secrecy and Unfair…Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification (2019)Nuanced Metrics for Measuring…Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Fairness Constraints: A Flexible Approach for Fair Classification (2019)Fairness Constraints: A Flexi…The cost of fairness in binary classification (2018)The cost of fairness in binar…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Ranking with Fairness Constraints (2017)Ranking with Fairness Constra…On Fairness and Calibration (2017)On Fairness and CalibrationLearning Non-Discriminatory Predictors (2017)Learning Non-Discriminatory P…FA*IR (2017)FA*IRInherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Fairness through awareness (2012)Fairness through awarenessOnline AUC Maximization (2011)Online AUC MaximizationMinimax AUC Fairness: Efficient Algorithm with Provable Convergence (2023)Minimax AUC Fairness: Efficie…Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Discrimination-aware data mining (2008)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in Machine Learning: Lessons from Political Philosophy (2017)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)Mitigating bias in algorithmic hiring (2020)Fairness in Machine Learning: A Survey (2023)Exposure to ideologically diverse news and opinion on Facebook (2015)A Review on Fairness in Machine Learning (2022)Fairness in recommender systems: research landscape and future directions (2023)Certifying and Removing Disparate Impact (2015)Measuring and Mitigating Unintended Bias in Text Classification (2018)Model Cards for Model Reporting (2019)Social Biases in NLP Models as Barriers for Persons with Disabilities (2020)Trustworthy AI: A Computational Perspective (2022)Equity of Attention (2018)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Dissecting racial bias in an algorithm used to manage the health of populations (2019)On the Opportunities and Risks of Foundation Models (2021)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)
this work references cited by second hop

References

  • 2012Fairness through awareness3,545 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores1,433 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
  • 2018Fairness of Exposure in Rankings611 cited
  • 2017On Fairness and Calibration573 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017FA*IR497 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons374 cited
  • 2019Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification317 cited
  • 2017Ranking with Fairness Constraints236 cited
  • 2018The cost of fairness in binary classification190 cited
  • 2019Fairness Constraints: A Flexible Approach for Fair Classification184 cited
  • 2011Online AUC Maximization183 cited
  • 2017Learning Non-Discriminatory Predictors182 cited
  • 2020The Age of Secrecy and Unfairness in Recidivism Prediction177 cited

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Cited by

  • 2023Minimax AUC Fairness: Efficient Algorithm with Provable Convergence11 cited