Feature Selection
511 papers
Papers per year
1
11
4
1
6
15
9
12
18
14
23
27
21
18
25
28
26
30
37
28
37
38
37
35
10
'5
'10
'15
'20
'25
Papers
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
NeurIPS 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty
NeurIPS 2011
Nearest Neighbor based Greedy Coordinate Descent
NeurIPS 2011
On fast approximate submodular minimization
NeurIPS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization
AISTATS 2011
On the accuracy of l1-filtering of signals with block-sparse structure
NeurIPS 2011
Projection onto A Nonnegative Max-Heap
NeurIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
NeurIPS 2011
Tight conditions for consistent variable selection in high dimensional nonparametric regression
COLT 2011
Accounting for network effects in neuronal responses using L1 regularized point process models
NeurIPS 2010
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
NeurIPS 2010
A Regularization Approach to Nonlinear Variable Selection
AISTATS 2010
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
NeurIPS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials
AISTATS 2010
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
NeurIPS 2010
Exclusive Lasso for Multi-task Feature Selection
AISTATS 2010
Feature Selection using Multiple Streams
AISTATS 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation
JMLR 2010
Moreau-Yosida Regularization for Grouped Tree Structure Learning
NeurIPS 2010
Multi-Stage Dantzig Selector
NeurIPS 2010
Multivariate Dyadic Regression Trees for Sparse Learning Problems
NeurIPS 2010
Probabilistic Multi-Task Feature Selection
NeurIPS 2010
Structured sparsity-inducing norms through submodular functions
NeurIPS 2010
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
NeurIPS 2010
The Feature Selection Path in Kernel Methods
AISTATS 2010