Feature Selection for Ridge Regression with Provable Guarantees

DOI10.1162/NECO_a_00816zbMath1418.62275arXiv1506.05173WikidataQ39987678 ScholiaQ39987678MaRDI QIDQ5380416

Saurabh Paul, Petros Drineas

Publication date: 4 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1506.05173

zbMATH Keywords

selectionridge regression

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Statistical ranking and selection procedures (62F07)

Related Items (2)

Feature selection for linear SVM with provable guarantees ⋮ Scalable and Flexible Unsupervised Feature Selection

Cites Work

• Feature selection for linear SVM with provable guarantees
• Sampling from large matrices
• Sampling algorithms for l₂ regression and applications
• Jacobi’s Method is More Accurate than QR
• Twice-ramanujan sparsifiers
• Deterministic Feature Selection for K-Means Clustering
• Multicategory proximal support vector machine classifiers
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