Feature Selection

Feature Multi-Selection among Subjective Features ICML 2013 Feature Selection in High-Dimensional Classification ICML 2013 Hash Bit Selection: A Unified Solution for Selection Problems in Hashing CVPR 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Pass-efficient unsupervised feature selection NeurIPS 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model ICCV 2013 Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013 Robust Structural Metric Learning ICML 2013 Scale Invariant Conditional Dependence Measures ICML 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 Sparse Uncorrelated Linear Discriminant Analysis ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012