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Problems with Shapley-value-based explanations as feature importance measures
Game-theoretic formulations of feature importance have become popular as...
02/25/2020 ∙ by I. Elizabeth Kumar, et al. ∙
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Fair Meta-Learning: Learning How to Learn Fairly
Data sets for fairness relevant tasks can lack examples or be biased acc...
11/06/2019 ∙ by Dylan Slack, et al. ∙
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Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
In this paper, we advocate for the study of fairness techniques in low d...
08/24/2019 ∙ by Dylan Slack, et al. ∙
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Certifying and removing disparate impact
What does it mean for an algorithm to be biased? In U.S. law, unintentio...
12/11/2014 ∙ by Michael Feldman, et al. ∙
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