Pages that link to "Item:Q5206941"

The following pages link to Optimal Convergence Rates for Nesterov Acceleration (Q5206941):

Displaying 31 items.

• Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions (Q2020604) (← links)
• Convergence results of two-step inertial proximal point algorithm (Q2085649) (← links)
• Convergence rates of first- and higher-order dynamics for solving linear ill-posed problems (Q2088139) (← links)
• Convergence rates of damped inerial dynamics from multi-degree-of-freedom system (Q2091224) (← links)
• On the effect of perturbations in first-order optimization methods with inertia and Hessian driven damping (Q2106043) (← links)
• Inertial projection and contraction algorithms with larger step sizes for solving quasimonotone variational inequalities (Q2114595) (← links)
• A gradient-type algorithm with backward inertial steps associated to a nonconvex minimization problem (Q2181667) (← links)
• Projection methods with alternating inertial steps for variational inequalities: weak and linear convergence (Q2192627) (← links)
• An extension of the second order dynamical system that models Nesterov's convex gradient method (Q2232772) (← links)
• Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance (Q2233558) (← links)
• Convergence rates for an inertial algorithm of gradient type associated to a smooth non-convex minimization (Q2235149) (← links)
• Convergence rates of the heavy-ball method under the Łojasiewicz property (Q2687044) (← links)
• Optimal decay rates for semi-linear non-autonomous evolution equations with vanishing damping (Q2693996) (← links)
• Optimal convergence rates for damped inertial gradient dynamics with flat geometries (Q2694484) (← links)
• Convergence Rates of Damped Inertial Dynamics under Geometric Conditions and Perturbations (Q3300770) (← links)
• Convergence Rates of Inertial Primal-Dual Dynamical Methods for Separable Convex Optimization Problems (Q3382782) (← links)
• Proximal Gradient Methods for Machine Learning and Imaging (Q5028165) (← links)
• Weak and linear convergence of a generalized proximal point algorithm with alternating inertial steps for a monotone inclusion problem (Q5089998) (← links)
• Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization (Q5097013) (← links)
• From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective (Q5097023) (← links)
• Rate of convergence of the Nesterov accelerated gradient method in the subcritical case <i>α</i> ≤ 3 (Q5107904) (← links)
• Convergence rate of a relaxed inertial proximal algorithm for convex minimization (Q5110325) (← links)
• Fast convergence of inertial dynamics with Hessian-driven damping under geometry assumptions (Q6058513) (← links)
• Factor-\(\sqrt{2}\) acceleration of accelerated gradient methods (Q6073850) (← links)
• Double inertial parameters forward-backward splitting method: Applications to compressed sensing, image processing, and SCAD penalty problems (Q6085639) (← links)
• FISTA is an automatic geometrically optimized algorithm for strongly convex functions (Q6120847) (← links)
• Inertial Newton algorithms avoiding strict saddle points (Q6145046) (← links)
• The Nesterov accelerated gradient algorithm for auto-regressive exogenous models with random lost measurements: interpolation method and auxiliary model method (Q6197183) (← links)
• Stochastic differential equations for modeling first order optimization methods (Q6490316) (← links)
• Generalized proximal point algorithms with correction terms and extrapolation (Q6536963) (← links)
• Optimal convergence rate of inertial gradient system with flat geometries and perturbations (Q6569359) (← links)