Super-Universal Regularized Newton Method

11 August 2022

Papers citing "Super-Universal Regularized Newton Method"

10 / 10 papers shown

Title
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 51 1 0 12 Oct 2024
Incremental Gauss--Newton Methods with Superlinear Convergence Rates Zhiling Zhou Zhuanghua Liu Chengchang Liu Luo Luo 39 0 0 03 Jul 2024
Stochastic Newton Proximal Extragradient Method Ruichen Jiang Michal Dereziñski Aryan Mokhtari 39 0 0 03 Jun 2024
Adaptive proximal gradient methods are universal without approximation Konstantinos A. Oikonomidis Emanuel Laude P. Latafat Andreas Themelis Panagiotis Patrinos 39 6 0 09 Feb 2024
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms Farshed Abdukhakimov Chulu Xiang Dmitry Kamzolov Robert Mansel Gower Martin Takáč 45 2 0 28 Dec 2023
First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians N. Doikov G. N. Grapiglia 30 4 0 05 Sep 2023
Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method N. Doikov 30 6 0 28 Aug 2023
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods El Mahdi Chayti N. Doikov Martin Jaggi ODL 29 6 0 23 Feb 2023
Second-order optimization with lazy Hessians N. Doikov El Mahdi Chayti Martin Jaggi 38 16 0 01 Dec 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization D. Kovalev Alexander Gasnikov 51 29 0 19 May 2022