Noah Simon

Develop Treatment Rules with Observational Data

Jeremy Roth , Noah Simon

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

Big Survival Analysis Using Stochastic Gradient Descent

Aliasghar Tarkhan , Noah Simon

Lasso and Elastic-Net Regularized Generalized Linear Models

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

Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models

Jan Klosa , Noah Simon , Dörte Wittenburg

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

Perform Inference on Algorithm-Agnostic Variable Importance

Brian D. Williamson , Jean Feng , Charlie Wolock , Noah Simon , Marco Carone