On dissipative symplectic integration with applications to gradient-based optimization

15 April 2020

Papers citing "On dissipative symplectic integration with applications to gradient-based optimization"

7 / 7 papers shown

Title
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants Chris Junchi Li 42 0 0 22 Apr 2024
On a continuous time model of gradient descent dynamics and instability in deep learning Mihaela Rosca Yan Wu Chongli Qin Benoit Dherin 38 7 0 03 Feb 2023
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 41 25 0 20 Mar 2022
A More Stable Accelerated Gradient Method Inspired by Continuous-Time Perspective Yasong Feng Weiguo Gao 23 0 0 09 Dec 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization Peiyuan Zhang Antonio Orvieto Hadi Daneshmand Thomas Hofmann Roy S. Smith 32 9 0 23 Feb 2021
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM G. França Daniel P. Robinson René Vidal 20 18 0 13 Aug 2018
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 110 1,157 0 04 Mar 2015