Feature Selection
511 papers
Papers per year
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15
9
12
18
14
23
27
21
18
25
28
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37
28
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Papers
The Group Dantzig Selector
AISTATS 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
AISTATS 2010
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
NeurIPS 2009
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
NeurIPS 2009
Heterogeneous multitask learning with joint sparsity constraints
NeurIPS 2009
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
NeurIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem
NeurIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
NeurIPS 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
NeurIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes
NeurIPS 2009
Submodularity Cuts and Applications
NeurIPS 2009
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
NeurIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains
NeurIPS 2009
Unsupervised Feature Selection for the k-means Clustering Problem
NeurIPS 2009
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
NeurIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule
NeurIPS 2008
Dynamic visual attention: searching for coding length increments
NeurIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
NeurIPS 2008
High-dimensional support union recovery in multivariate regression
NeurIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
NeurIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization
NeurIPS 2008
Nonparametric regression and classification with joint sparsity constraints
NeurIPS 2008
Robust Regression and Lasso
NeurIPS 2008
A Kernel Statistical Test of Independence
NeurIPS 2007
A New View of Automatic Relevance Determination
NeurIPS 2007