Skip to content
conftrace_

variable selection

158 papers

Papers

A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015 Closed-form Estimators for High-dimensional Generalized Linear Models NeurIPS 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015 Variable Selection is Hard COLT 2015 FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014 Algorithms for Discovery of Multiple Markov Boundaries JMLR 2013 Feature Selection in High-Dimensional Classification ICML 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Nonparametric Sparsity and Regularization JMLR 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013 Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013 A Comparison of the Lasso and Marginal Regression JMLR 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 NeurIPS 2012 Marginal Regression For Multitask Learning AISTATS 2012 Sparsistency of the Edge Lasso over Graphs AISTATS 2012 Variable Selection for Gaussian Graphical Models AISTATS 2012 Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012 Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011 Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011 Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011