Machine learning foundations· 1996
Regression Shrinkage and Selection Via the Lasso
On the reading lists
- #298 in the Top 500 (2026 edition)
- #25 in Machine learning foundations (2026 edition)
Why it matters
Introduced L1-regularized regression, enabling sparse estimation and automatic feature selection.
Condensed from the expert lists' notes.
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.