Exploring Fairness-Accuracy Trade-Offs in Binary Classification: A Comparative Analysis Using Modified Loss Functions

Author:

Trotter Christina1ORCID,Chen Yixin1ORCID

Affiliation:

1. University of Mississippi, University, Mississippi, USA

Publisher

ACM

Reference60 articles.

1. Alekh Agarwal, Miroslav Dudik, and Zhiwei Steven Wu. 2019. Fair Regression: Quantitative Definitions and Reduction-Based Algorithms. In Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, Long Beach, USA, 120--129. https://proceedings.mlr.press/v97/agarwal19d.html

2. Human intervention in automated decision-making

3. Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness

4. Evaluation of Gender Bias in Facial Recognition with Traditional Machine Learning Algorithms

5. Bias on the web

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