Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression
On model selection consistency of lasso
Ridge regression: biased estimation for nonorthogonal problems
New Subsampling Algorithms for Fast Least Squares Regression
Efficient Methods for Overlapping Group Lasso
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation
An interior-point method for large-scale l1-regularized logistic regression
The group Lasso for logistic regression
Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$ -Constrained Quadratic Programming (Lasso)
Compressed and Privacy-Sensitive Sparse Regression
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression
Distributed Sparse Linear Regression
Closed-form Estimators for High-dimensional Generalized Linear Models
Fast and Robust Least Squares Estimation in Corrupted Linear Models
Sparse inverse covariance estimation with the graphical lasso
Efficient L1 Regularized Logistic Regression
Sparse Algorithm for Robust LSSVM in Primal Space
Regression Shrinkage and Selection via the Elastic Net , with Applications to Microarrays
Robust methods for partial least squares regression
Regularization paths for generalized linear models via coordinate descent
python for scientific computing .
An Induction Generator-Based AC/DC Hybrid Electric Power Generation System for More Electric Aircraft
Ridge regression: biased estimation for nonorthogonal problems
A 5GS/s 12.2pJ/conv. analog charge-domain FFT for a software defined radio receiver front-end in 65nm CMOS
Transformational Leadership and Organizational Innovation: The Roles of Internal and External Support for Innovation