51 citations · 160 across the 8 of their papers we have counts for
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cs.LG2023
Replicable Reinforcement Learning
Eric Eaton, Marcel Hussing, Michael Kearns +1
The replicability crisis in the social, behavioral, and data sciences has led to the formulation of algorithm frameworks for replicability -- i.e., a requirement that an algorithm…
cs.LG2023
AI Model Disgorgement: Methods and Choices
Alessandro Achille, Michael Kearns, Carson Klingenberg +1
Responsible use of data is an indispensable part of any machine learning (ML) implementation. ML developers must carefully collect and curate their datasets, and document their pro…