Co-occurring keywords · papers mentioning both
Papers
Guaranteed Sparse Recovery under Linear Transformation
ICML 2013
Lasso Screening Rules via Dual Polytope Projection
NeurIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
NeurIPS 2013
The Bigraphical Lasso
ICML 2013
The lasso, persistence, and cross-validation
ICML 2013
A Comparison of the Lasso and Marginal Regression
JMLR 2012
A General Framework for Structured Sparsity via Proximal Optimization
AISTATS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
AISTATS 2012
Sparse Prediction with the k-Support Norm
NeurIPS 2012
Hyper-Sparse Optimal Aggregation
JMLR 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation
NeurIPS 2011
Robust Lasso with missing and grossly corrupted observations
NeurIPS 2011
Adaptive Multi-Task Lasso: with Application to eQTL Detection
NeurIPS 2010
Rate Minimaxity of the Lasso and Dantzig Selector for the Loss in Balls
JMLR 2010
The LASSO risk: asymptotic results and real world examples
NeurIPS 2010
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
NeurIPS 2009
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
JMLR 2008
An Homotopy Algorithm for the Lasso with Online Observations
NeurIPS 2008
Robust Regression and Lasso
NeurIPS 2008
Catching Change-points with Lasso
NeurIPS 2007