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Sparse Optimization

347 papers

Papers per year

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25
25
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Papers

An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018
Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018
Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018
Sketching for Kronecker Product Regression and P-splines AISTATS 2018
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling CVPR 2018
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018
The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding ICML 2018
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018
Nonoverlap-Promoting Variable Selection ICML 2018
Fast Cross-Validation IJCAI 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018
A Tight Bound of Hard Thresholding JMLR 2018
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
A Constructive Approach to $L_0$ Penalized Regression JMLR 2018
Simple Classification Using Binary Data JMLR 2018
A Universal Analysis of Large-Scale Regularized Least Squares Solutions NIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Alternating minimization for dictionary learning with random initialization NIPS 2017
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NIPS 2017
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NIPS 2017