Pages that link to "Item:Q4964100"

The following pages link to Adaptive cubic regularization methods with dynamic inexact Hessian information and applications to finite-sum minimization (Q4964100):

Displaying 18 items.

• An algorithm for the minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity (Q2020598) (← links)
• A generalized worst-case complexity analysis for non-monotone line searches (Q2028039) (← links)
• Adaptive regularization for nonconvex optimization using inexact function values and randomly perturbed derivatives (Q2052165) (← links)
• Linesearch Newton-CG methods for convex optimization with noise (Q2084588) (← links)
• A stochastic first-order trust-region method with inexact restoration for finite-sum minimization (Q2111466) (← links)
• A cubic regularization of Newton's method with finite difference Hessian approximations (Q2138398) (← links)
• Subsampled nonmonotone spectral gradient methods (Q2178981) (← links)
• Inexact restoration with subsampled trust-region methods for finite-sum minimization (Q2191786) (← links)
• Combining stochastic adaptive cubic regularization with negative curvature for nonconvex optimization (Q2302838) (← links)
• A sequential adaptive regularisation using cubics algorithm for solving nonlinear equality constrained optimization (Q2696932) (← links)
• The impact of noise on evaluation complexity: the deterministic trust-region case (Q2696963) (← links)
• Stochastic analysis of an adaptive cubic regularization method under inexact gradient evaluations and dynamic Hessian accuracy (Q5034938) (← links)
• Adaptive Regularization Algorithms with Inexact Evaluations for Nonconvex Optimization (Q5244400) (← links)
• LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums (Q5879118) (← links)
• A filter sequential adaptive cubic regularization algorithm for nonlinear constrained optimization (Q6109884) (← links)
• Derivative-free separable quadratic modeling and cubic regularization for unconstrained optimization (Q6489314) (← links)
• Inexact tensor methods and their application to stochastic convex optimization (Q6585820) (← links)
• Subsampled first-order optimization methods with applications in imaging (Q6606441) (← links)