feature selection

A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 Analysis of a Random Forests Model JMLR 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 A systematic approach to extracting semantic information from functional MRI data NeurIPS 2012 A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012 Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Feature Selection via Dependence Maximization JMLR 2012 Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012 Locality Preserving Feature Learning AISTATS 2012 Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012 Maximum Margin Temporal Clustering AISTATS 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 On Bisubmodular Maximization AISTATS 2012 Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012 On the Necessity of Irrelevant Variables JMLR 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012