variable selection

Union Support Recovery in Multi-task Learning JMLR 2011 A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NeurIPS 2010 A Regularization Approach to Nonlinear Variable Selection AISTATS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010 Fast Active-set-type Algorithms for l1-regularized Linear Regression AISTATS 2010 High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency JMLR 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 Nonparametric prior for adaptive sparsity AISTATS 2010 Rate Minimaxity of the Lasso and Dantzig Selector for the Loss in Balls JMLR 2010 Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification JMLR 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009 An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Catching Change-points with Lasso NeurIPS 2007 Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007 Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006 Learning Coordinate Covariances via Gradients JMLR 2006