Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization

18 November 2019

Papers citing "Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization"

6 / 6 papers shown

Title
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 55 0 0 09 Apr 2024
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 27 179 0 01 Sep 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 30 168 0 19 Dec 2019
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 84 129 0 16 Oct 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods Guoyin Li Ting Kei Pong 105 292 0 09 Feb 2016