2 papers
stat.ML2026
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
Lukas De Kerpel, Arthur Thuy, Dries F. Benoit
In recent years, instructional practices in Operations Research (OR), Management Science (MS), and Analytics have increasingly shifted toward digital environments, where large and…
cs.LG2025
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
Matteo Ballegeer, Matthias Bogaert, Dries F. Benoit
Instance-dependent cost-sensitive (IDCS) classifiers offer a promising approach to improving cost-efficiency in credit scoring by tailoring loss functions to instance-specific cost…