ITBoost: Information-Theoretic Trust for Robust Boosting

Ye Su, Longlong Zhao, Diego Garcia-Gil +4

Gradient boosting remains a strong and widely used method for tabular data learning, but its performance often degrades when training labels are noisy. This behavior is largely rel…