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Feature Selection

462 directly classified papers

Papers per year

Papers

Feature Selection in High-Dimensional Classification ICML 2013
Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013
Sparse Uncorrelated Linear Discriminant Analysis ICML 2013
Robust Structural Metric Learning ICML 2013
Pass-efficient unsupervised feature selection NIPS 2013
Polar Operators for Structured Sparse Estimation NIPS 2013
Dirty Statistical Models NIPS 2013
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NIPS 2013
Sparse Higher-Order Principal Components Analysis AISTATS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
Graphical Models via Generalized Linear Models NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Structured Sparse Canonical Correlation Analysis AISTATS 2012