Picasso: A Sparse Learning Library for High Dimensional Data Analysis in
R and Python

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

27 June 2020

Tong Zhang

Papers citing "Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python"

8 / 8 papers shown

Title
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery Han Liu Lie Wang Tuo Zhao 89 36 0 10 May 2013
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 129 170 0 13 Feb 2012
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 180 507 0 24 Apr 2011
Strong rules for discarding predictors in lasso-type problems Robert Tibshirani Jacob Bien J. Friedman Trevor Hastie N. Simon Jonathan E. Taylor Robert Tibshirani 183 641 0 09 Nov 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 274 957 0 02 Oct 2010
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 170 674 0 28 Sep 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 334 3,567 0 25 Feb 2010
Pathwise coordinate optimization J. Friedman Trevor Hastie Holger Hofling Robert Tibshirani 263 2,055 0 10 Aug 2007