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Sparse Optimization

347 directly classified papers

Papers per year

Papers

Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity ICCV 2013
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013
Low-Rank Matrix and Tensor Completion via Adaptive Sampling NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
Fast Convolutional Sparse Coding CVPR 2013
Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013
Noisy Sparse Subspace Clustering ICML 2013
Near-Optimal Entrywise Sampling for Data Matrices NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NIPS 2012
Graphical Models via Generalized Linear Models NIPS 2012
Multiresolution analysis on the symmetric group NIPS 2012
Reconstruction from Anisotropic Random Measurements COLT 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NIPS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
A mechanistic model of early sensory processing based on subtracting sparse representations NIPS 2012
Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
Matrix reconstruction with the local max norm NIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Sparse Prediction with the $k$-Support Norm NIPS 2012
Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012
Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012