Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces 事件

Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces arXiv:2601.20800v3 Announce Type: replace-cross Abstract: We propose conditional PED-ANOVA (condPED-ANOVA), a principled framework for estimating hyperparameter importance (HPI) in conditional search spaces, where the presence or domain of a hyperparameter can depend on other hyperparameters. Although the original PED-ANOVA provides a fast and efficient way to estimate HPI within the top-performing regions