Fairness seen as global sensitivity analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s10994-022-06202-y.pdf
Reference48 articles.
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3. Besse, P., del Barrio, E., Gordaliza, P., Loubes, J. M., & Risser, L. (2021). A survey of bias in machine learning through the prism of statistical parity. The American Statistician. https://doi.org/10.1080/00031305.2021.1952897
4. Bongers, S., Forré, P., Peters, J., Schölkopf, B., & Mooij, J. M. (2020). Foundations of structural causal models with cycles and latent variables. arXiv preprint arXiv:1611.06221
5. Carlier, G., Galichon, A., & Santambrogio, F. (2010). From Knothe’s transport to Brenier’s map and a continuation method for optimal transport. SIAM Journal on Mathematical Analysis, 41(6), 2554–2576.
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