arXiv (All)
open access
Sparse Convexification for High-Dimensional Constrained Regression
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
- Sparse Convexification for High-Dimensional Constrained Regression#617601
- Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms#144202
- Hessian Schatten-Norm Regularization for Linear Inverse Problems#235364
- Acceleration for Affine-coupling problems#1132198
- Following a Unique Path: A Fast Certifier Applied to Outlier-Robust Pose Registration#925579
Record · ID 618101
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