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Confidence Intervals for Testing Disparate Impact in Fair Learning.

, , , и . CoRR, (2018)

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Ernst Paulat

Felix Leonard Paulauskas Lingaitis

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Christian-Joseph Paula

 

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A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set., , , , и . CoRR, (2020)Obtaining Fairness using Optimal Transport Theory., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 2357-2365. PMLR, (2019)Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions., , , и . J. Multivar. Anal., (2019)Interaction with a Hand Rehabilitation Exoskeleton in EMG-Driven Bilateral Therapy: Influence of Visual Biofeedback on the Users' Performance., , , и . Sensors, 23 (4): 2048 (февраля 2023)A study on group fairness in healthcare outcomes for nursing home residents during the COVID-19 pandemic in the Basque Country., , , , , и . CoRR, (2023)Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations., , , и . CoRR, (2023)A Survey on Preserving Fairness Guarantees in Changing Environments., , , и . CoRR, (2022)Confidence Intervals for Testing Disparate Impact in Fair Learning., , , и . CoRR, (2018)Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results., , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 1198-1206. PMLR, (2024)