arxiv
PublishedMay 28, 2026 at 4:00 AM
—neutral
Optimal ridge regularization revisited
Publisher summary· verbatim
arXiv:2605.28679v1 Announce Type: new Abstract: We consider $L^2$-regularized linear (ridge) regression over a finite data sample $X$ with bounded covariance and linear prediction targets $y$ with additive isotropic noise of finite variance. We present an iterative procedure to compute the optimal r
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 Pruning2harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning2harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models2harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents2hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗