OpenAlex
metadata only
Regularization Paths for Generalized Linear Models via Coordinate Descent
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Regularization Paths for Generalized Linear Models via Coordinate Descent.#6450
- Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon#1062760
- The convergence of sparsified gradient methods#388318
- LEARNING WITH POINTWISE CONSTRAINTS#929361
- Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models#147108
Record · ID 6408 · SHA-256 9c42e6316374866f
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive