Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
Author:
Affiliation:
1. Baylor University, Waco, TX, USA
2. The University of Texas at Dallas, Richardson, TX, USA
3. University of Arkansas, Fayetteville, AR, USA
4. University of Florida, Gainesville, FL, USA
5. The University of Texas, Dallas, Richardson, TX, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671909
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3. Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz. 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893 (2019).
4. Ensuring Fairness under Prior Probability Shifts
5. Gilles Blanchard, Gyemin Lee, and Clayton Scott. 2011. Generalizing from several related classification tasks to a new unlabeled sample. Advances in neural information processing systems, Vol. 24 (2011).
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