Jerome Friedman

Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization

Noah Simon , Jerome Friedman , Trevor Hastie , Rob Tibshirani

Sorted L1 Penalized Estimation

Johan Larsson , Jonas Wallin , Malgorzata Bogdan , Ewout van den Berg , Chiara Sabatti , Emmanuel Candes , Evan Patterson , Weijie Su , Jakub Kała , Krystyna Grzesiak , Michal Burdukiewicz , Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Noah Simon , Junyang Qian , Akarsh Goyal

Trio Model with a Combination of Lasso and Group Lasso Regularization

Timo Stöcker , Noah Simon , Jerome Friedman , Trevor Hastie , Rob Tibshirani

ACE and AVAS for Selecting Multiple Regression Transformations

Phil Spector , Jerome Friedman , Robert Tibshirani , Thomas Lumley , Shawn Garbett , Jonathan Baron

Contrast Trees and Boosting

Jerome Friedman , Balasubramanian Narasimhan

Graphical Lasso

Jerome Friedman , Trevor Hastie , Rob Tibshirani

Lasso and Elastic-Net Regularized Generalized Linear Models

Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Kenneth Tay , Noah Simon , Junyang Qian , James Yang

Principal Components Lasso

Jerome Friedman , Kenneth Tay , Robert Tibshirani

Sparse Group Lasso

Daniel J. McDonald , Xiaoxuan Liang , Anibal Solón Heinsfeld , Aaron Cohen , Yi Yang , Hui Zou , Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Kenneth Tay , Noah Simon , Junyang Qian , James Yang