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Matthäus Kleindeßner

4 works· latest 2022· 3 institutionscluster: provisionalORCID 0000-0002-9907-4610

h-index4

i104

Citations126

Works here4

Most cited in this library

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers2022 · 44 citations
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information2021 · 40 citations
Equalized odds postprocessing under imperfect group information2019 · 28 citations
Measuring Fairness of Rankings under Noisy Sensitive Information2022 · 14 citations

Works

4 shown

Measuring Fairness of Rankings under Noisy Sensitive Information

ACM Conference on Fairness, Accountability, and Transparency (FAccT)·2022·4 authors·other·Open access

14citations

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings·2022·7 authors·other·Open access

44citations

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

ACM Conference on Fairness, Accountability, and Transparency (FAccT)·2021·5 authors·other·Open access

40citations

Equalized odds postprocessing under imperfect group information

arXiv (Cornell University)·2019·3 authors·preprint·Open access

28citations