1.9k citations · 3.3k across the 3 of their papers we have counts for
3 papers
stat.AP2008★ 1.3k cited
Predictive learning via rule ensembles
Jerome H. Friedman, Bogdan E. Popescu
General regression and classification models are constructed as linear combinations of simple rules derived from the data. Each rule consists of a conjunction of a small number of…
stat.ME2007★ 62 cited
Sparse inverse covariance estimation with the lasso
Jerome Friedman, Trevor Hastie, Robert Tibshirani
We consider the problem of estimating sparse graphs by a lasso penalty applied to the inverse covariance matrix. Using a coordinate descent procedure for the lasso, we develop a si…
stat.CO2007★ 1.9k cited
Pathwise coordinate optimization
Jerome Friedman, Trevor Hastie, Holger Höfling +1
We consider ``one-at-a-time'' coordinate-wise descent algorithms for a class of convex optimization problems. An algorithm of this kind has been proposed for the -penalized re…