Gradient regularization of Newton method with Bregman distances
From MaRDI portal
Publication:6201850
DOI10.1007/s10107-023-01943-7arXiv2112.02952OpenAlexW4360829127MaRDI QIDQ6201850
Yu. E. Nesterov, Nikita Doikov
Publication date: 21 February 2024
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2112.02952
Cites Work
- Unnamed Item
- Unnamed Item
- Smooth minimization of non-smooth functions
- Adaptive cubic regularisation methods for unconstrained optimization. I: Motivation, convergence and numerical results
- Lectures on convex optimization
- Regularized Newton method for unconstrained convex optimization
- Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
- Cubic-regularization counterpart of a variable-norm trust-region method for unconstrained minimization
- Cubic regularization of Newton method and its global performance
- Contracting Proximal Methods for Smooth Convex Optimization