2 papers
stat.ML2025
Machine learning in an expectation-maximisation framework for nowcasting
Paul Wilsens, Katrien Antonio, Gerda Claeskens
Decision making often occurs in the presence of incomplete information, leading to the under- or overestimation of risk. Leveraging the observable information to learn the complete…
cs.LG2025
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Ho Ming Lee, Katrien Antonio, Benjamin Avanzi +2
Ensuring equitable treatment (fairness) across protected attributes (such as gender or ethnicity) is a critical issue in machine learning. Most existing literature focuses on binar…