Matching code and law: achieving algorithmic fairness with optimal transport von Zehlike, Meike, Hacker, Philipp, Wiedemann, Emil

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Fairness in Ranking, Part I: Score-Based Ranking von Zehlike, Meike, Yang, Ke, Stoyanovich, Julia

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Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems von Zehlike, Meike, Yang, Ke, Stoyanovich, Julia

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Fair Top-k Ranking with multiple protected groups von Zehlike, Meike, Sühr, Tom, Baeza-Yates, Ricardo, Bonchi, Francesco, Castillo, Carlos, Hajian, Sara

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FAIR: a fair top-k ranking algorithm von Zehlike, Meike, Bonchi, Francesco, Castillo, Carlos, Hajian, Sara, Megahed, Mohamed, Baeza-Yates, Ricardo

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Reducing Disparate Exposure in Ranking: A Learning To Rank Approach von Zehlike, Meike, Castillo, Carlos

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Fairness in Ranking: A Survey von Zehlike, Meike, Yang, Ke, Stoyanovich, Julia

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Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law von Zehlike, Meike, Loosley, Alex, Jonsson, Håkan, Wiedemann, Emil, Hacker, Philipp

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A Note on the Significance Adjustment for FAIR with Two Protected Groups von Zehlike, Meike, Sühr, Tom, Castillo, Carlos

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Towards a Flexible Framework for Algorithmic Fairness von Hacker, Philip, Wiedemann, Emil, Zehlike, Meike

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Ethnic classifications in algorithmic decision-making processes von Jaime, Sofia, Kern, Christoph

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Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law von Zehlike, Meike, Loosley, Alex, Jonsson, Håkan, Wiedemann, Emil, Hacker, Philipp

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Fair ranking: a critical review, challenges, and future directions von Patro, Gourab K, Porcaro, Lorenzo, Mitchell, Laura, Zhang, Qiuyue, Zehlike, Meike, Garg, Nikhil

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FairSearch: A Tool For Fairness in Ranked Search Results von Zehlike, Meike, Sühr, Tom, Castillo, Carlos, Kitanovski, Ivan

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FairSearch: a tool for fairness in ranked search results von Zehlike, Meike, Sühr, Tom, Castillo, Carlos, Kitanovski, Ivan

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Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport von Zehlike, Meike, Hacker, Philipp, Wiedemann, Emil

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Towards a Flexible Framework for Algorithmic Fairness von Hacker, Philip, Wiedemann, Emil, Zehlike, Meike

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Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport von Zehlike, Meike, Hacker, Philipp, Wiedemann, Emil

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FAIR: A Fair Top-k Ranking Algorithm von Zehlike, Meike, Bonchi, Francesco, Castillo, Carlos, Hajian, Sara, Megahed, Mohamed, Baeza-Yates, Ricardo

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Fair ranking: a critical review, challenges, and future directions von Patro, Gourab K, Porcaro, Lorenzo, Mitchell, Laura, Zhang, Qiuyue, Zehlike, Meike, Garg, Nikhil

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