Structured Sparsity: Discrete and Convex Approaches (Q3460840)

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Language	Label	Description	Also known as
English	Structured Sparsity: Discrete and Convex Approaches	scientific article

Statements

scholarly article

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Structured Sparsity: Discrete and Convex Approaches (English)

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Anastasios Kyrillidis

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Luca Baldassarre

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Marwa El Halabi

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Compressed Sensing and its Applications

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publication date

8 January 2016

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full work available at URL

https://arxiv.org/abs/1507.05367

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Learning with Submodular Functions: A Convex Optimization Perspective

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Model-based Sketching and Recovery with Expanders

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Group-Sparse Model Selection: Hardness and Relaxations

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Near best tree approximation

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Model-Based Compressive Sensing

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A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

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Learning Deep Architectures for AI

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Projected Newton Methods for Optimization Problems with Simple Constraints

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Iterative hard thresholding for compressed sensing

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Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces

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Local analysis of Newton-type methods for variational inequalities and nonlinear programming

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Principles of Optics

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Convex analysis and nonlinear optimization. Theory and examples.

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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Submodular Maximization with Cardinality Constraints

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Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage

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A first-order primal-dual algorithm for convex problems with applications to imaging

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The convex geometry of linear inverse problems

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Atomic Decomposition by Basis Pursuit

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Signal Recovery by Proximal Forward-Backward Splitting

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Covariance selection for nonchordal graphs via chordal embedding

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An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

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Compressed sensing

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Least angle regression. (With discussion)

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Robust Recovery of Signals From a Structured Union of Subspaces

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Hard Thresholding Pursuit: An Algorithm for Compressive Sensing

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Realization of set functions as cut functions of graphs and hypergraphs

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A generalized proximal point algorithm for certain non-convex minimization problems

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Spiking Neuron Models

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Beyond the flow decomposition barrier

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On the $O(1/n)$ Convergence Rate of the Douglas–Rachford Alternating Direction Method

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Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing

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Learning Bayesian networks: The combination of knowledge and statistical data

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The benefit of group sparsity

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Learning with Structured Sparsity

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On Model-Based RIP-1 Matrices

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Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity

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On the distribution of the largest eigenvalue in principal components analysis

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Matrix recipes for hard thresholding methods

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Structure estimation for discrete graphical models: generalized covariance matrices and their inverses

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Matching pursuits with time-frequency dictionaries

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The Group Lasso for Logistic Regression

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Sparse Approximate Solutions to Linear Systems

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CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

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An analysis of approximations for maximizing submodular set functions—I

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Prox-Method with Rate of Convergence <i>O</i>(1/<i>t</i>) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems

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Excessive Gap Technique in Nonsmooth Convex Minimization

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Smooth minimization of non-smooth functions

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Primal-dual subgradient methods for convex problems

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A faster strongly polynomial time algorithm for submodular function minimization

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Order-Preserving Factor Analysis—Application to Longitudinal Gene Expression

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Strongly Regular Generalized Equations

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Embedded image coding using zerotrees of wavelet coefficients

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On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements

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Sparsity and Smoothness Via the Fused Lasso

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Composite Self-Concordant Minimization

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Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

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Applications of a Splitting Algorithm to Decomposition in Convex Programming and Variational Inequalities

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Accelerated and Inexact Forward-Backward Algorithms

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Sparse group Lasso and high dimensional multinomial classification

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Sparse Reconstruction by Separable Approximation

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Numerical Optimization

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Model Selection and Estimation in Regression with Grouped Variables

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The composite absolute penalties family for grouped and hierarchical variable selection

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Identifiers

zbMATH Open document ID

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10.1007/978-3-319-16042-9_12

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:3460840

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