Sparse Learning
165 papers
Papers per year
2
6
5
12
9
11
5
12
11
12
11
3
7
15
11
6
9
4
10
4
'10
'15
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'25
Papers
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
NeurIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes
NeurIPS 2009
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
NeurIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations
NeurIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization
NeurIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
NeurIPS 2008
Sparsity of SVMs that use the epsilon-insensitive loss
NeurIPS 2008
A New View of Automatic Relevance Determination
NeurIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning
NeurIPS 2007
Catching Change-points with Lasso
NeurIPS 2007
SpAM: Sparse Additive Models
NeurIPS 2007
Sparse Feature Learning for Deep Belief Networks
NeurIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data
NeurIPS 2007
Large-Scale Sparsified Manifold Regularization
NeurIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
NeurIPS 2006