Bénesse et al., 2024 - Google Patents
Fairness seen as global sensitivity analysisBénesse et al., 2024
View HTML- Document ID
- 8331820888981750552
- Author
- Bénesse C
- Gamboa F
- Loubes J
- Boissin T
- Publication year
- Publication venue
- Machine Learning
External Links
Snippet
Ensuring that a predictor is not biased against a sensitive feature is the goal of fair learning. Meanwhile, Global Sensitivity Analysis (GSA) is used in numerous contexts to monitor the influence of any feature on an output variable. We merge these two domains, Global …
- 238000010206 sensitivity analysis 0 title abstract description 25
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