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Sparse Optimization

347 directly classified papers

Papers per year

Papers

On the Sample Complexity of Robust PCA NIPS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Compressive Sensing MRI with Wavelet Tree Sparsity NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
Orthogonal Matching Pursuit with Replacement NIPS 2011
Penalty Decomposition Methods for Rank Minimization NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
On the accuracy of l1-filtering of signals with block-sparse structure NIPS 2011
Universal low-rank matrix recovery from Pauli measurements NIPS 2011
Sparse recovery by thresholded non-negative least squares NIPS 2011
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NIPS 2011
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NIPS 2011
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
A concave regularization technique for sparse mixture models NIPS 2011
CUR from a Sparse Optimization Viewpoint NIPS 2010