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Fairness-Aware Learning for Continuous Attributes and Treatments · Study

WorkFairness-Aware Learning for Continuous Attributes and Treatments

Jérémie Mary2019

Work2019

Fairness-Aware Learning for Continuous Attributes and Treatments

Jérémie Mary · Clément Calauzènes · Noureddine El Karoui

44 citations·0/0 files stored·International Conference on Machine Learning

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Ethics and Social Impacts of AI Advanced Causal Inference Techniques Explainable Artificial Intelligence (XAI)

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References

1999An Introduction to Copulas 2012Fairness through awareness 2016Equality of Opportunity in Supervised Learning 2015Certifying and Removing Disparate Impact 2013Learning Fair Representations 2010Three naive Bayes approaches for discrimination-free classification 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment 2017On Fairness and Calibration

Cited by

2024Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation 2022Adversarial learning for counterfactual fairness 2021Characterizing Intersectional Group Fairness with Worst-Case Comparisons 2021Learning Unbiased Representations via Mutual Information Backpropagation 2020A Fair Classifier Using Mutual Information 2022Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱

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2020Fairness in Machine Learningchapter · 8 shared references 2020A snapshot of the frontiers of fairness in machine learningarticle · 7 shared references 2022Trustworthy AI: A Computational Perspectivearticle · 7 shared references 2019Classification with Fairness Constraintsother · 7 shared references 2018Aequitas: A Bias and Fairness Audit Toolkitpreprint · 7 shared references 2021Fairness in credit scoring: Assessment, implementation and profit implicationsarticle · 7 shared references

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Year2019

Typeother

Published2019-05-24

VenueInternational Conference on Machine Learning

Languageen

Citations44

Files0 public / 0

ShelfEthics and Social Impacts of AI

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openalex_workW2946294136

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2020

Achieving Equalized Odds by Resampling Sensitive Attributes

2022Fairness seen as global sensitivity analysis