2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
IJCAI 2023poster
The recent rise in popularity of Hyperparameter Optimization (HPO) for deep learning has highlighted the role that good hyperparameter (HP) space design can play in training strong models. In turn, designing a good HP space is critically dependent on understanding the role of different HPs. This mot…