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Fairness-Aware Learning for Continuous Attributes and Treatments
11 references·11 citing·29 second hop
Fairness-Aware Learning for Continuous Attributes and Treatments (2019)Fairness-Aware Learning for Continuous At…On Fairness and Calibration (2017)On Fairness and CalibrationFairness 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…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessFairness-aware Learning through Regularization Approach (2011)Fairness-aware Learning throu…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Uniform Guidelines on Employee Selection Procedures (2007)Uniform Guidelines on Employe…Benchmarks of fairness for health care reform: a policy tool for developing countries. (2000)Benchmarks of fairness for he…An Introduction to Copulas (1999)An Introduction to CopulasEffective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation (2024)Effective Credit Risk Predict…Fairness seen as global sensitivity analysis (2022)Fairness seen as global sensi…Adversarial learning for counterfactual fairness (2022)Adversarial learning for coun…Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱ (2022)Achieving Fairness via Post-P…The social dilemma in artificial intelligence development and why we have to solve it (2021)The social dilemma in artific…Learning Unbiased Representations via Mutual Information Backpropagation (2021)Learning Unbiased Representat…Characterizing Intersectional Group Fairness with Worst-Case Comparisons (2021)Characterizing Intersectional…Review of Mathematical frameworks for Fairness in Machine Learning (2020)Review of Mathematical framew…Fairness-Aware Neural Rényi Minimization for Continuous Features (2020)Fairness-Aware Neural Rényi M…Achieving Equalized Odds by Resampling Sensitive Attributes (2020)Achieving Equalized Odds by R…A Fair Classifier Using Mutual Information (2020)A Fair Classifier Using Mutua…Discrimination-aware data mining (2008)A Reductions Approach to Fair Classification (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)A snapshot of the frontiers of fairness in machine learning (2020)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)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)Fairness of Exposure in Rankings (2018)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Quantitative Risk Management: Concepts, Techniques, and Tools (2005)MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE* (2006)Introductory Econometrics for Finance (2008)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)The Measure and Mismeasure of Fairness (2018)Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Discrimination in online ad delivery (2013)Mitigating bias in algorithmic hiring (2020)
this work references cited by second hop

References

  • 1999An Introduction to Copulas7,743 cited
  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2013Learning Fair Representations1,126 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017On Fairness and Calibration509 cited
  • 2007Uniform Guidelines on Employee Selection Procedures389 cited
  • 2011Fairness-aware Learning through Regularization Approach375 cited
  • 2000Benchmarks of fairness for health care reform: a policy tool for developing countries.129 cited

Cited by

  • 2024Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation34 cited
  • 2022Adversarial learning for counterfactual fairness27 cited
  • 2021Characterizing Intersectional Group Fairness with Worst-Case Comparisons27 cited
  • 2021Learning Unbiased Representations via Mutual Information Backpropagation23 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2020A Fair Classifier Using Mutual Information23 cited
  • 2022Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱22 cited
  • 2020Achieving Equalized Odds by Resampling Sensitive Attributes21 cited
  • 2022Fairness seen as global sensitivity analysis19 cited
  • 2020Fairness-Aware Neural Rényi Minimization for Continuous Features17 cited
  • 2020Review of Mathematical frameworks for Fairness in Machine Learning17 cited
  • 2021The social dilemma in artificial intelligence development and why we have to solve it16 cited