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variable selection

146 papers

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Co-occurring keywords

feature selection (649) high-dimensional regression (142) sparse regression (175) high-dimensional datum (157) false discovery rate (75) convex optimization (1320) bayesian inference (1904) group lasso (64) high-dimensional statistics (145) model selection (454)

Papers

Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013
Feature Selection in High-Dimensional Classification ICML 2013
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications JMLR 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Marginal Regression For Multitask Learning AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Union Support Recovery in Multi-task Learning JMLR 2011
Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011
Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011
Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011
Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency JMLR 2010
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NIPS 2010
Multivariate Dyadic Regression Trees for Sparse Learning Problems NIPS 2010
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NIPS 2010
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression AISTATS 2010
A Regularization Approach to Nonlinear Variable Selection AISTATS 2010
Nonparametric prior for adaptive sparsity AISTATS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009