Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization

2 August 2019

Papers citing "Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization"

4 / 4 papers shown

Title
Learning by solving differential equations Benoit Dherin Michael Munn Hanna Mazzawi Michael Wunder Sourabh Medapati Javier Gonzalvo 24 0 0 19 May 2025
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 43 25 0 20 Mar 2022
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM G. França Daniel P. Robinson René Vidal 28 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 116 1,157 0 04 Mar 2015