Pages that link to "Item:Q359630"

The following pages link to Gradient methods for minimizing composite functions (Q359630):

Displaying 50 items.

• Randomized Projection Methods for Convex Feasibility: Conditioning and Convergence Rates (Q5242933) (← links)
• Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning (Q5254990) (← links)
• On the Generation of Sampling Schemes for Magnetic Resonance Imaging (Q5266399) (← links)
• A proximal partially parallel splitting method for separable convex programs (Q5268890) (← links)
• Exact Worst-Case Performance of First-Order Methods for Composite Convex Optimization (Q5275297) (← links)
• Randomized Block Proximal Damped Newton Method for Composite Self-Concordant Minimization (Q5355205) (← links)
• Composite Convex Minimization Involving Self-concordant-Like Cost Functions (Q5356980) (← links)
• A Multilevel Proximal Gradient Algorithm for a Class of Composite Optimization Problems (Q5372650) (← links)
• (Q5381111) (← links)
• An introduction to continuous optimization for imaging (Q5740077) (← links)
• Perturbation resilience of proximal gradient algorithm for composite objectives (Q5743220) (← links)
• An acceleration procedure for optimal first-order methods (Q5746718) (← links)
• A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima (Q5853567) (← links)
• The method of codifferential descent for convex and global piecewise affine optimization (Q5859002) (← links)
• An accelerated communication-efficient primal-dual optimization framework for structured machine learning (Q5859008) (← links)
• A dual approach for optimal algorithms in distributed optimization over networks (Q5859014) (← links)
• Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media (Q5860276) (← links)
• Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction (Q5860374) (← links)
• A primal-dual flow for affine constrained convex optimization (Q5864593) (← links)
• Inexact model: a framework for optimization and variational inequalities (Q5865338) (← links)
• Universal intermediate gradient method for convex problems with inexact oracle (Q5865342) (← links)
• High-Order Optimization Methods for Fully Composite Problems (Q5869820) (← links)
• Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization (Q5869821) (← links)
• A Trust-region Method for Nonsmooth Nonconvex Optimization (Q5881403) (← links)
• Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection (Q5882243) (← links)
• Reducing the Complexity of Two Classes of Optimization Problems by Inexact Accelerated Proximal Gradient Method (Q5883312) (← links)
• Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization (Q5883313) (← links)
• Composite nonsmooth optimization using approximate generalized gradient vectors (Q5959905) (← links)
• Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization (Q5962715) (← links)
• Analysis of the Frank-Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier (Q6038640) (← links)
• Accelerated differential inclusion for convex optimization (Q6042222) (← links)
• An extrapolated iteratively reweighted \(\ell_1\) method with complexity analysis (Q6043137) (← links)
• Accelerated First-Order Methods for Convex Optimization with Locally Lipschitz Continuous Gradient (Q6046830) (← links)
• A diagonal finite element-projection-proximal gradient algorithm for elliptic optimal control problem (Q6048981) (← links)
• Stopping rules for gradient methods for non-convex problems with additive noise in gradient (Q6051170) (← links)
• A speed restart scheme for a dynamics with Hessian-driven damping (Q6086152) (← links)
• Conditions for linear convergence of the gradient method for non-convex optimization (Q6097482) (← links)
• Branch-and-Model: a derivative-free global optimization algorithm (Q6097758) (← links)
• Linearly-convergent FISTA variant for composite optimization with duality (Q6101606) (← links)
• An accelerated tensorial double proximal gradient method for total variation regularization problem (Q6108976) (← links)
• A unified single-loop alternating gradient projection algorithm for nonconvex-concave and convex-nonconcave minimax problems (Q6110456) (← links)
• Accelerated smoothing hard thresholding algorithms for \(\ell_0\) regularized nonsmooth convex regression problem (Q6111359) (← links)
• Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization (Q6114954) (← links)
• Direct nonlinear acceleration (Q6114957) (← links)
• Regularized Newton Method with Global \({\boldsymbol{\mathcal{O}(1/{k}^2)}}\) Convergence (Q6116237) (← links)
• FISTA is an automatic geometrically optimized algorithm for strongly convex functions (Q6120847) (← links)
• Decentralized Gradient Descent Maximization Method for Composite Nonconvex Strongly-Concave Minimax Problems (Q6130542) (← links)
• Optimal Algorithms for Stochastic Complementary Composite Minimization (Q6136660) (← links)
• N-mode minimal tensor extrapolation methods (Q6140891) (← links)
• A class of modified accelerated proximal gradient methods for nonsmooth and nonconvex minimization problems (Q6145571) (← links)