arxiv
PublishedJune 5, 2026 at 4:00 AM
Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces
Publisher summary· verbatim
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. Althou
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning18harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning18harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models18harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents18hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗