"Wasserstein-based fairness interpretability framework for machine learning ..."

Alexey Miroshnikov et al. (2022)

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DOI: 10.1007/S10994-022-06213-9

access: open

type: Journal Article

metadata version: 2022-10-24

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  - https://dblp.org/rec/journals/ml/MiroshnikovKFK22
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Wasserstein-based fairness interpretability framework for machine learning models. Mach. Learn. 111(9): 3307-3357 (2022)

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