References
Alghamdi, Wael, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak,
Shahab Asoodeh, and Flavio Calmon. 2022. “Beyond Adult and COMPAS:
Fair Multi-Class Prediction via Information Projection.”
Advances in Neural Information Processing Systems 35: 38747–60.
Calders, T., F. Kamiran, and M. Pechenizkiy. 2009. “Building
Classifiers with Independency Constraints.” In IEEE
International Conference on Data Mining.
Denis, Christophe, Romuald Elie, Mohamed Hebiri, and François Hu. 2021.
“Fairness Guarantee in Multi-Class Classification.”
arXiv Preprint arXiv:2109.13642.
Hardt, M., E. Price, and N. Srebro. 2016. “Equality of Opportunity
in Supervised Learning.” In Neural Information Processing
Systems.
Krüger, Fabian, and Johanna F. Ziegel. 2020. “Generic Conditions
for Forecast Dominance.” Journal of Business & Economic
Statistics 39 (2021): 972–83.
Naeini, Mahdi Pakdaman, Gregory Cooper, and Milos Hauskrecht. 2015.
“Obtaining Well Calibrated Probabilities Using Bayesian
Binning.” In Proceedings of the AAAI Conference on Artificial
Intelligence. Vol. 29. 1.
Widmann, David, Fredrik Lindsten, and Dave Zachariah. 2019.
“Calibration Tests in Multi-Class Classification: A Unifying
Framework.” Advances in Neural Information Processing
Systems 32.