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Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
16 references·11 citing·25 second hop
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019)Learning Optimal and Fair Decision Trees …Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…A Convex Framework for Fair Regression (2017)A Convex Framework for Fair R…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…A Confidence-Based Approach for Balancing Fairness and Accuracy (2016)A Confidence-Based Approach f…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactLearning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessk-NN as an implementation of situation testing for discrimination discovery and prevention (2011)k-NN as an implementation of …Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Discrimination Aware Decision Tree Learning (2010)Discrimination Aware Decision…Classifying without discriminating (2009)Classifying without discrimin…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Discrimination-aware data mining (2008)Discrimination-aware data min…A data-driven software tool for enabling cooperative information sharing among police departments (2002)A data-driven software tool f…Addressing bias in bagging and boosting regression models (2024)Addressing bias in bagging an…Market Segmentation Trees (2023)Market Segmentation TreesIn-Processing Modeling Techniques for Machine Learning Fairness: A Survey (2022)In-Processing Modeling Techni…FFTree: A flexible tree to handle multiple fairness criteria (2022)FFTree: A flexible tree to ha…Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values (2022)Fairness without Imputation: …An information theoretic approach to reducing algorithmic bias for machine learning (2022)An information theoretic appr…Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination (2021)Fairness in Semi-supervised L…Robust Optimization for Fairness with Noisy Protected Groups (2020)Robust Optimization for Fairn…Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination (2020)Fairness in Semi-Supervised L…Fairness-Aware Process Mining (2019)Fairness-Aware Process MiningFAHT: An Adaptive Fairness-aware Decision Tree Classifier (2019)FAHT: An Adaptive Fairness-aw…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)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)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)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)'It's Reducing a Human Being to a Percentage' (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fairness definitions explained (2018)Machine behaviour (2019)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2008Discrimination-aware data mining676 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2009Classifying without discriminating403 cited
  • 2010Discrimination Aware Decision Tree Learning303 cited
  • 2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited
  • 2017A Convex Framework for Fair Regression198 cited
  • 2002A data-driven software tool for enabling cooperative information sharing among police departments194 cited

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  • 2016A Confidence-Based Approach for Balancing Fairness and Accuracy163 cited
  • Cited by

    • 2022In-Processing Modeling Techniques for Machine Learning Fairness: A Survey99 cited
    • 2019FAHT: An Adaptive Fairness-aware Decision Tree Classifier85 cited
    • 2020Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination54 cited
    • 2024Addressing bias in bagging and boosting regression models51 cited
    • 2023Market Segmentation Trees47 cited
    • 2020Robust Optimization for Fairness with Noisy Protected Groups43 cited
    • 2021Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination38 cited
    • 2022An information theoretic approach to reducing algorithmic bias for machine learning27 cited
    • 2019Fairness-Aware Process Mining26 cited
    • 2022Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values25 cited
    • 2022FFTree: A flexible tree to handle multiple fairness criteria17 cited