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A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of
  ADMM
v1v2v3v4v5v6v7 (latest)

A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM

13 August 2018
G. França
Daniel P. Robinson
René Vidal
ArXiv (abs)PDFHTML

Papers citing "A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM"

5 / 5 papers shown
From exponential to finite/fixed-time stability: Applications to
  optimization
From exponential to finite/fixed-time stability: Applications to optimizationIEEE Conference on Decision and Control (CDC), 2024
Ibrahim Kurban Özaslan
Mihailo R. Jovanović
264
6
0
18 Sep 2024
A General Continuous-Time Formulation of Stochastic ADMM and Its
  Variants
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants
Chris Junchi Li
283
1
0
22 Apr 2024
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
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
433
27
0
20 Mar 2022
Optimization on manifolds: A symplectic approach
Optimization on manifolds: A symplectic approach
G. Francca
Alessandro Barp
Mark Girolami
Sai Li
294
14
0
23 Jul 2021
Gradient flows and proximal splitting methods: A unified view on
  accelerated and stochastic optimization
Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimizationPhysical Review E (PRE), 2019
G. França
Daniel P. Robinson
René Vidal
548
21
0
02 Aug 2019
1
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