feature selection

Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 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 Enriching Texture Analysis with Semantic Data CVPR 2013 Feature Multi-Selection among Subjective Features ICML 2013 Feature Selection in High-Dimensional Classification ICML 2013 Fine-Grained Crowdsourcing for Fine-Grained Recognition CVPR 2013 Hash Bit Selection: A Unified Solution for Selection Problems in Hashing CVPR 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Least Informative Dimensions NeurIPS 2013 Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NeurIPS 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Online Feature Selection for Model-based Reinforcement Learning ICML 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 Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013