Sparse Optimization
241 papers
Papers per year
3
5
10
16
18
15
13
21
20
26
11
7
9
10
8
5
14
7
10
6
7
'10
'15
'20
'25
Papers
Differentiable Sparse Coding
NeurIPS 2008
Estimating vector fields using sparse basis field expansions
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
Nonparametric regression and classification with joint sparsity constraints
NeurIPS 2008
Robust Regression and Lasso
NeurIPS 2008
Sparse Online Learning via Truncated Gradient
NeurIPS 2008
A New View of Automatic Relevance Determination
NeurIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning
NeurIPS 2007
Compressed Regression
NeurIPS 2007
Hierarchical Penalization
NeurIPS 2007
SpAM: Sparse Additive Models
NeurIPS 2007
Large-Scale Sparsified Manifold Regularization
NeurIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
NeurIPS 2006
Support Vector Machines on a Budget
NeurIPS 2006