Feature Selection

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016 Structure-Leveraged Methods in Breast Cancer Risk Prediction JMLR 2016 Subspace Learning with Partial Information JMLR 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016 Supervised Quantization for Similarity Search CVPR 2016 The knockoff filter for FDR control in group-sparse and multitask regression ICML 2016 A Nearly-Linear Time Framework for Graph-Structured Sparsity ICML 2015 Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015 Dealing with small data: On the generalization of context trees ICML 2015 Discrete Rényi Classifiers NeurIPS 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 Is Feature Selection Secure against Training Data Poisoning? ICML 2015 Largest Source Subset Selection for Instance Transfer ACML 2015 Learning Bayesian Networks with Thousands of Variables NeurIPS 2015 Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction NeurIPS 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NeurIPS 2015 Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015 On the consistency theory of high dimensional variable screening NeurIPS 2015 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NeurIPS 2015 Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015 Structured Feature Selection ICCV 2015 Subset Selection by Pareto Optimization NeurIPS 2015 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NeurIPS 2015 Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection CVPR 2015 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014