Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information - researchr publication

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Pranjal Awasthi, Alex Beutel, Matthäus Kleindessner, Jamie Morgenstern, Xuezhi Wang 0002. Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information. In FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021. pages 206-214, ACM, 2021. [doi]

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