Hyperparameter Tuning Thr
Hyperparameter Tuning Through Pessimistic Bilevel Optimization
Hyperparameter Tuning Through Pessimistic Bilevel Optimization
arXiv:2412.03666v1 Announce Type: new
Abstract: Automated hyperparameter search in machine learning, especially for deep learning models, is typically formulated as a bilevel optimization problem, with hyperparameter values determined by the upper level and the model learning achieved by the lower-…