Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective

Firas Laakom, Haobo Chen, Jürgen Schmidhuber +1

Despite substantial progress in promoting fairness in high-stake applications using machine learning models, existing methods often modify the training process, such as through reg…