Sparse Linear Identifiable Multivariate Modeling

Sparse Nonparametric Graphical Models

Sparse partial least squares for on-line variable selection in multivariate data streams

Sparse Prediction with the k-Overlap Norm

Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning

SparseCodePicking: feature extraction in mass spectrometry using sparse coding algorithms

Sparsification and feature selection by compressive linear regression

Sparsistent Estimation of Time-Varying Discrete Markov Random Fields

Sparsity regret bounds for individual sequences in online linear regression

Sparsity-accuracy trade-off in MKL

Spatio-Temporal Graphical Model Selection

Spectral approximations in machine learning

Spectral clustering and the high-dimensional stochastic blockmodel

Spectral clustering based on local linear approximations

Spectral dimensionality reduction for HMMs

Speeding up the binary Gaussian process classification

SpicyMKL

Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery

Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models