Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning - researchr publication authors

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Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador. Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. In Peggy Cellier, Kurt Driessens, editors, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Volume 1167 of Communications in Computer and Information Science, pages 590-604, Springer, 2019. [doi]

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