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Sparse Optimization

347 directly classified papers

Papers per year

Papers

Simple Classification Using Binary Data JMLR 2018
Nonoverlap-Promoting Variable Selection ICML 2018
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding ICML 2018
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018
The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018
Fast greedy algorithms for dictionary selection with generalized sparsity constraints NIPS 2018
A Constructive Approach to $L_0$ Penalized Regression JMLR 2018
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NIPS 2018
Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018
A convex program for bilinear inversion of sparse vectors NIPS 2018
A Tight Bound of Hard Thresholding JMLR 2018
Fast Similarity Search via Optimal Sparse Lifting NIPS 2018
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
Wavelet regression and additive models for irregularly spaced data NIPS 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Sketching for Kronecker Product Regression and P-splines AISTATS 2018
Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018
Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018
Gradient Hard Thresholding Pursuit JMLR 2018
A Universal Analysis of Large-Scale Regularized Least Squares Solutions NIPS 2017
Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017
Inverse Covariance Estimation with Structured Groups IJCAI 2017
Elastic Shape-From-Template With Spatially Sparse Deforming Forces CVPR 2017