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Average Individual Fairness: Algorithms, Generalization and Experiments
13 references·5 citing·36 second hop
Average Individual Fairness: Algorithms, Generalization and Experiments (2019)Average Individual Fairness: Algorithms, …Multiaccuracy (2019)MultiaccuracyAn Empirical Study of Rich Subgroup Fairness for Machine Learning (2019)An Empirical Study of Rich Su…Probably Approximately Metric-Fair Learning (2018)Probably Approximately Metric…Online Learning with an Unknown Fairness Metric (2018)Online Learning with an Unkno…Fairness Through Computationally-Bounded Awareness (2018)Fairness Through Computationa…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Fairness in Learning: Classic and Contextual Bandits (2016)Fairness in Learning: Classic…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness through awareness (2012)Fairness through awarenessOnline Learning and Online Convex Optimization (2011)Online Learning and Online Co…The New York City High School Match (2005)The New York City High School…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples (2023)Mitigating Multisource Biases…Optimising Equal Opportunity Fairness in Model Training (2022)Optimising Equal Opportunity …Algorithmic Fairness and Statistical Discrimination (2022)Algorithmic Fairness and Stat…A Fair Classifier Using Mutual Information (2020)A Fair Classifier Using Mutua…Some aspects of the sequential design of experiments (1952)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Big Data Deep Learning: Challenges and Perspectives (2014)A survey of machine learning for big data processing (2016)A survey on deep learning for big data (2017)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)College Admissions and the Stability of Marriage (1962)The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory (1984)School Choice: A Mechanism Design Approach (2003)Pairwise kidney exchange (2005)The Boston Public School Match (2005)Repugnance as a Constraint on Markets (2007)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Big Data's Disparate Impact (2014)Fairness in learning: classic and contextual bandits (2016)Algorithmic fairness in business analytics: Directions for research and practice (2022)Algorithmic Fairness (2023)Discrimination-aware data mining (2008)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Bias and Fairness in Large Language Models: A Survey (2024)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)The Frontiers of Fairness in Machine Learning (2018)Advances, challenges and opportunities in creating data for trustworthy AI (2022)Fairness in Machine Learning: A Survey (2023)Dissecting racial bias in an algorithm used to manage the health of populations (2019)On the Opportunities and Risks of Foundation Models (2021)
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References

  • 2012Fairness through awareness3,545 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores1,433 cited
  • 2011Online Learning and Online Convex Optimization1,170 cited
  • 2005The New York City High School Match655 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness446 cited
  • 2016Fairness in Learning: Classic and Contextual Bandits199 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning197 cited
  • 2019Multiaccuracy189 cited
  • 2018Fairness Through Computationally-Bounded Awareness89 cited
  • 2018Online Learning with an Unknown Fairness Metric73 cited
  • 2018Probably Approximately Metric-Fair Learning40 cited

Cited by

  • 2020A Fair Classifier Using Mutual Information23 cited
  • 2023Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples20 cited
  • 2022

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Optimising Equal Opportunity Fairness in Model Training
19 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited
  • 2022Algorithmic Fairness and Statistical Discrimination12 cited