Pages that link to "Item:Q1736880"

The following pages link to Global convergence of ADMM in nonconvex nonsmooth optimization (Q1736880):

Displaying 50 items.

• Model selection with distributed SCAD penalty (Q5036460) (← links)
• A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm (Q5043740) (← links)
• (Q5053184) (← links)
• An Unbiased Approach to Low Rank Recovery (Q5055687) (← links)
• Sparse Single Index Models for Multivariate Responses (Q5066421) (← links)
• Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation (Q5066441) (← links)
• An Image Registration Model in Electron Backscatter Diffraction (Q5068850) (← links)
• Minimization of $L_1$ Over $L_2$ for Sparse Signal Recovery with Convergence Guarantee (Q5071446) (← links)
• An extended primal-dual algorithm framework for nonconvex problems: application to image reconstruction in spectral CT (Q5089411) (← links)
• A Splitting Scheme for Flip-Free Distortion Energies (Q5094625) (← links)
• A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings (Q5094626) (← links)
• Global rates of convergence for nonconvex optimization on manifolds (Q5113326) (← links)
• An Alternating Augmented Lagrangian method for constrained nonconvex optimization (Q5113713) (← links)
• The Proximal Alternating Direction Method of Multipliers in the Nonconvex Setting: Convergence Analysis and Rates (Q5119852) (← links)
• Relax-and-split method for nonconvex inverse problems (Q5123708) (← links)
• An unbiased approach to compressed sensing (Q5132273) (← links)
• 3D Orientation-Preserving Variational Models for Accurate Image Registration (Q5143311) (← links)
• An Algorithm for Second Order Mumford--Shah Models Based on a Taylor Jet Formulation (Q5143341) (← links)
• An ADMM-LAP method for total variation myopic deconvolution of adaptive optics retinal images (Q5148414) (← links)
• Iteratively Reweighted Group Lasso Based on Log-Composite Regularization (Q5161764) (← links)
• A Scale-Invariant Approach for Sparse Signal Recovery (Q5204007) (← links)
• $ \newcommand{\e}{{\rm e}} {\alpha\ell_{1}-\beta\ell_{2}}$ regularization for sparse recovery (Q5210419) (← links)
• Douglas--Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results (Q5210517) (← links)
• Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold (Q5210519) (← links)
• ADMM for multiaffine constrained optimization (Q5210740) (← links)
• (Q5214214) (← links)
• A Proximal Minimization Algorithm for Structured Nonconvex and Nonsmooth Problems (Q5231666) (← links)
• Consistent Dynamic Mode Decomposition (Q5238245) (← links)
• Accelerated Stochastic Algorithms for Nonconvex Finite-Sum and Multiblock Optimization (Q5242931) (← links)
• Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction (Q5266366) (← links)
• ADMM and Non-convex Variational Problems (Q5350480) (← links)
• Multi-channel Potts-based reconstruction for multi-spectral computed tomography (Q5854071) (← links)
• Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization (Q5860341) (← links)
• Variational Rician Noise Removal via Splitting on Spheres (Q5863522) (← links)
• Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms (Q5863527) (← links)
• New Splitting Algorithms for Multiplicative Noise Removal Based on Aubert-Aujol Model (Q5864782) (← links)
• A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization (Q5869816) (← links)
• High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition (Q5881139) (← links)
• Two-Phase Image Segmentation by Nonconvex Nonsmooth Models with Convergent Alternating Minimization Algorithms (Q5881399) (← links)
• Half-quadratic alternating direction method of multipliers for robust orthogonal tensor approximation (Q6038829) (← links)
• A sequential ADMM algorithm to find sparse LCP solutions using a \(l_2-l_1\) regularization technique with application in bimatrix game (Q6049293) (← links)
• Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound (Q6051308) (← links)
• ALADIN‐—An open‐source MATLAB toolbox for distributed non‐convex optimization (Q6053663) (← links)
• Low-rank tensor data reconstruction and denoising via ADMM: algorithm and convergence analysis (Q6057163) (← links)
• Riemannian smoothing gradient type algorithms for nonsmooth optimization problem on compact Riemannian submanifold embedded in Euclidean space (Q6058520) (← links)
• Group structure detection for a high‐dimensional panel data model (Q6059399) (← links)
• Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis (Q6069870) (← links)
• Estimation of banded time-varying precision matrix based on SCAD and group Lasso (Q6071705) (← links)
• Composite optimization with coupling constraints via dual proximal gradient method with applications to asynchronous networks (Q6085458) (← links)
• Drop-DIP: A single-image denoising method based on deep image prior (Q6085628) (← links)