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Sparse Optimization

347 directly classified papers

Papers per year

Papers

Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
Differentiable Sparse Coding NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Spectral Clustering with Perturbed Data NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
Deflation Methods for Sparse PCA NIPS 2008
Adaptive Template Matching with Shift-Invariant Semi-NMF NIPS 2008
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Catching Change-points with Lasso NIPS 2007
Compressed Regression NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NIPS 2006
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006