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Metric-Free Individual Fairness in Online Learning
16 references·0 citing·38 second hop
Metric-Free Individual Fairness in Online Learning (2020)Metric-Free Individual Fairness in Online…Metric Learning for Individual Fairness (2019)Metric Learning for Individua…Individual Fairness in Hindsight (2019)Individual Fairness in Hindsi…Eliciting and Enforcing Subjective Individual Fairness. (2019)Eliciting and Enforcing Subje…The Measure and Mismeasure of Fairness (2018)The Measure and Mismeasure of…The Frontiers of Fairness in Machine Learning (2018)The Frontiers of Fairness in …Probably Approximately Metric-Fair Learning (2018)Probably Approximately Metric…Probably Approximately Metric-Fair Learning (2018)Probably Approximately Metric…Online Learning with an Unknown Fairness Metric (2018)Online Learning with an Unkno…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…Efficient Algorithms for Adversarial Contextual Learning (2016)Efficient Algorithms for Adve…Fairness through awareness (2012)Fairness through awarenessHow to use expert advice (1997)How to use expert adviceA Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Contributions to the theory of games. (1960)AGGREGATING STRATEGIES (1990)The Asymptotic Theory of Extreme Order Statistics (1990)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Contributions to the Theory of Games (1952)An analog of the minimax theorem for vector payoffs (1956)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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)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)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Model Cards for Model Reporting (2019)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Bias and Fairness in Large Language Models: A Survey (2024)Learning Fair Representations (2013)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)A snapshot of the frontiers of fairness in machine learning (2020)Achieving Fairness in the Stochastic Multi-Armed Bandit Problem (2020)Fairness in Machine Learning: A Survey (2023)The Economics of Discrimination. (1972)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)On the Opportunities and Risks of Foundation Models (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)On the (im)possibility of fairness (2016)Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations (2017)Learning Adversarially Fair and Transferable Representations (2018)
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,503 cited
  • 2012Fairness through awareness3,545 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
  • 2018The Measure and Mismeasure of Fairness778 cited
  • 1997How to use expert advice631 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness446 cited
  • 2018The Frontiers of Fairness in Machine Learning372 cited
  • 2016Fairness in Learning: Classic and Contextual Bandits199 cited
  • 2018Online Learning with an Unknown Fairness Metric73 cited
  • 2019Metric Learning for Individual Fairness68 cited
  • 2018Probably Approximately Metric-Fair Learning40 cited
  • 2016Efficient Algorithms for Adversarial Contextual Learning40 cited
  • 2019Eliciting and Enforcing Subjective Individual Fairness.37 cited
  • 2018Probably Approximately Metric-Fair Learning21 cited
  • 2019Individual Fairness in Hindsight

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