Accelerated sparse recovery via gradient descent with nonlinear conjugate gradient momentum
From MaRDI portal
Publication:6101532
DOI10.1007/s10915-023-02148-yzbMath1520.65046arXiv2208.12183MaRDI QIDQ6101532
Yifei Lou, Bao Wang, Mengqi Hu, Ming Yan, Qiang Ye, Xiu Yang
Publication date: 20 June 2023
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2208.12183
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- A unified approach to model selection and sparse recovery using regularized least squares
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Point source super-resolution via non-convex \(L_1\) based methods
- Iterative reweighted minimization methods for \(l_p\) regularized unconstrained nonlinear programming
- Computing sparse representation in a highly coherent dictionary based on difference of \(L_1\) and \(L_2\)
- A new class of nonlinear conjugate gradient coefficients with exact and inexact line searches
- Enhancing sparsity by reweighted \(\ell _{1}\) minimization
- The place of the \(L_ 1\)-norm in robust estimation
- Introductory lectures on convex optimization. A basic course.
- Fast L1-L2 minimization via a proximal operator
- Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing
- The DC (Difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems
- Signal reconstruction by conjugate gradient algorithm based on smoothing \(l_1\)-norm
- Ratio and difference of \(l_1\) and \(l_2\) norms and sparse representation with coherent dictionaries
- Majorization-minimization generalized Krylov subspace methods for \({\ell _p}\)-\({\ell _q}\) optimization applied to image restoration
- A smoothing conjugate gradient method for solving systems of nonsmooth equations
- Another hybrid conjugate gradient algorithm for unconstrained optimization
- Nonconvex sorted \(\ell_1\) minimization for sparse approximation
- Minimization of functions having Lipschitz continuous first partial derivatives
- Minimization of transformed \(l_1\) penalty: closed form representation and iterative thresholding algorithms
- A novel regularization based on the error function for sparse recovery
- Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
- A Generalized Krylov Subspace Method for $\ell_p$-$\ell_q$ Minimization
- Adaptive Huber Regression
- An EM algorithm for wavelet-based image restoration
- Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
- Optimal methods of smooth convex minimization
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Restart procedures for the conjugate gradient method
- Fitting Data with Errors in All Variables Using the Huber M-estimator
- A D.C. Optimization Algorithm for Solving the Trust-Region Subproblem
- Analysis of the finite precision bi-conjugate gradient algorithm for nonsymmetric linear systems
- Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
- Inexact Preconditioned Conjugate Gradient Method with Inner-Outer Iteration
- Sparse Reconstruction by Separable Approximation
- Constructing Test Instances for Basis Pursuit Denoising
- Sampling-50 years after Shannon
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Sparse Approximate Solutions to Linear Systems
- Likelihood-Based Selection and Sharp Parameter Estimation
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- Stochastic Collocation Methods via Minimisation of the Transformed L<sub>1</sub>-Penalty
- Accelerated Schemes for the $L_1/L_2$ Minimization
- A Scale-Invariant Approach for Sparse Signal Recovery
- Sharpness, Restart, and Acceleration
- Minimization of $\ell_{1-2}$ for Compressed Sensing
- A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
- Function minimization by conjugate gradients
- A Fast Multilevel Algorithm for Wavelet-Regularized Image Restoration
- Signal Recovery by Proximal Forward-Backward Splitting
- Some methods of speeding up the convergence of iteration methods
- Methods of conjugate gradients for solving linear systems
- Compressed sensing
- An efficient hybrid conjugate gradient method for unconstrained optimization
This page was built for publication: Accelerated sparse recovery via gradient descent with nonlinear conjugate gradient momentum
