Pages that link to "Item:Q2032037"
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The following pages link to Minimizing uniformly convex functions by cubic regularization of Newton method (Q2032037):
Displaying 15 items.
- Accelerating the cubic regularization of Newton's method on convex problems (Q995787) (← links)
- Local convergence of tensor methods (Q2133417) (← links)
- Cubic regularized Newton method for the saddle point models: a global and local convergence analysis (Q2148117) (← links)
- Smoothness parameter of power of Euclidean norm (Q2178876) (← links)
- A note on inexact gradient and Hessian conditions for cubic regularized Newton's method (Q2294286) (← links)
- Cubic regularization of Newton method and its global performance (Q2494519) (← links)
- Accelerated Regularized Newton Methods for Minimizing Composite Convex Functions (Q4646444) (← links)
- Tensor methods for finding approximate stationary points of convex functions (Q5038435) (← links)
- Variants of the A-HPE and large-step A-HPE algorithms for strongly convex problems with applications to accelerated high-order tensor methods (Q5058404) (← links)
- High-Order Optimization Methods for Fully Composite Problems (Q5869820) (← links)
- (Q6040913) (← links)
- SCORE: approximating curvature information under self-concordant regularization (Q6051307) (← links)
- Super-Universal Regularized Newton Method (Q6136654) (← links)
- Minimizing a Low-Dimensional Convex Function Over a High-Dimensional Cube (Q6155880) (← links)
- Hessian barrier algorithms for non-convex conic optimization (Q6665383) (← links)
