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Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

, , , and . arXiv, (März 2017)

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Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream., , , , and . ACM Trans. Web, 9 (3): 12:1-12:33 (2015)Multi-objective Asynchronous Successive Halving., , , , and . CoRR, (2021)Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media., , , , , , and . CSCW, page 417-432. ACM, (2017)Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models., , , , , , and . KDD, page 3671-3681. ACM, (2022)Characterizing Information Diets of Social Media Users., , , , and . ICWSM, page 218-227. AAAI Press, (2015)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment, , , and . arXiv, (März 2017)Loss-Aversively Fair Classification., , , and . CoRR, (2021)On the Lack of Robust Interpretability of Neural Text Classifiers., , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3730-3740. Association for Computational Linguistics, (2021)Evaluating Large Language Models with fmeval., , , , , , , , , and . CoRR, (2024)Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning., , , and . AAAI, page 51-60. AAAI Press, (2018)