IQN: An Incremental Quasi-Newton Method with Local Superlinear
Convergence Rate

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate

2 February 2017

Alejandro Ribeiro

Papers citing "IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate"

8 / 8 papers shown

Title
Incremental Gauss--Newton Methods with Superlinear Convergence Rates Zhiling Zhou Zhuanghua Liu Chengchang Liu Luo Luo 39 0 0 03 Jul 2024
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients Sachin Garg A. Berahas Michal Dereziñski 46 1 0 23 Apr 2024
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization Pourya Behmandpoor P. Latafat Andreas Themelis Marc Moonen Panagiotis Patrinos 29 2 0 17 Jul 2022
SP2: A Second Order Stochastic Polyak Method Shuang Li W. Swartworth Martin Takávc Deanna Needell Robert Mansel Gower 26 13 0 17 Jul 2022
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches Michal Derezinski 55 5 0 06 Jun 2022
Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods Qiujiang Jin Aryan Mokhtari 21 38 0 30 Mar 2020
Flexible numerical optimization with ensmallen Ryan R. Curtin Marcus Edel Rahul Prabhu S. Basak Zhihao Lou Conrad Sanderson 18 1 0 09 Mar 2020
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate Aryan Mokhtari Mert Gurbuzbalaban Alejandro Ribeiro 29 36 0 01 Nov 2016