An Inertial Newton Algorithm for Deep Learning

29 May 2019

Papers citing "An Inertial Newton Algorithm for Deep Learning"

7 / 7 papers shown

Title
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions Siyuan Zhang Nachuan Xiao Xin Liu 61 1 0 18 Mar 2024
Newton Method-based Subspace Support Vector Data Description Fahad Sohrab Firas Laakom Moncef Gabbouj 19 5 0 25 Sep 2023
Inertial Newton Algorithms Avoiding Strict Saddle Points Camille Castera ODL 15 2 0 08 Nov 2021
New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation T. Truong 21 5 0 23 Aug 2021
AEGD: Adaptive Gradient Descent with Energy Hailiang Liu Xuping Tian ODL 27 11 0 10 Oct 2020
A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte Lilian E. Glaudin Edouard Pauwels M. Serrurier 29 9 0 17 Jul 2020
Incremental Without Replacement Sampling in Nonconvex Optimization Edouard Pauwels 38 5 0 15 Jul 2020