Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: adaptive lasso for sparse high - dimensional regression models .
The Adaptive Lasso and Its Oracle Properties
Coordinate descent algorithms for lasso penalized regression
On model selection consistency of lasso
Sparsity and smoothness via the fused lasso
Boosted lasso
Adaptive Multi-Task Lasso: with application to eQTL detection
DASSO: Connections between the dantzig selector and lasso
Stagewise Lasso
Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification
The Trimmed Lasso: Sparsity and Robustness
An efficient algorithm for a class of fused lasso problems
Regression Shrinkage and Selection via the Elastic Net , with Applications to Microarrays
The group Lasso for logistic regression
Square-Root Lasso With Nonconvex Regularization: An ADMM Approach
Boosting ridge regression
addendum : regularization and variable selection via the elastic net .
Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction
Nearly Optimal Private LASSO
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression
Multispectral palmprint recognition using steerable filter
Evaluating customer aid functions of online stores with agent-based models of customer behavior and evolution strategy
A Graph-based Method for Entity Linking
for most large underdetermined systems of linear equations the minimal ` 1 - norm solution is also the sparsest solution .
A New Shortest Paths Ranking Algorithm