Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression models
The Adaptive Lasso and Its Oracle Properties
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures
Stagewise Lasso
Rejoinder: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
Online Decision Making with High-Dimensional Covariates
Algorithms for regression and classification: robust regression and genetic association studies
A Safe Screening Rule for Sparse Logistic Regression
Multi-level Lasso for Sparse Multi-task Regression
Using principal components for estimating logistic regression with high-dimensional multicollinear data
Regularized discriminant analysis for high dimensional, low sample size data
An efficient algorithm for a class of fused lasso problems
Empirical bayes screening for multi-item associations
Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage
A First Order Free Lunch for SQRT-Lasso
False discovery rate revisited: FDR and topological inference using Gaussian random fields
Sparsity and smoothness via the fused lasso
the positive false discovery rate : a bayesian interpretation and the q - value1 .
Bayesian Regularization and Pruning Using a Laplace Prior
Sparse Logistic Regression with Lp Penalty for Biomarker Identification
Chipless RFID Tag Using Multiple Microstrip Open Stub Resonators
Multi-tenancy authorization models for collaborative cloud services
Regression Shrinkage and Selection Via the Lasso
Sudden infant death syndrome (SIDS) shortly after hexavalent vaccination: another pathology in suspected SIDS?
Rough Neutrosophic TOPSIS for Multi-Attribute Group Decision Making