Feature Selection

Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Elementary Estimators for Graphical Models NeurIPS 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Local Decorrelation For Improved Pedestrian Detection NeurIPS 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Noising versus Smoothing for Vertex Identification in Unknown Shapes CVPR 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Sparse meta-Gaussian information bottleneck ICML 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 Submodular Attribute Selection for Action Recognition in Video NeurIPS 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 Dirty Statistical Models NeurIPS 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013