ResearchTrend.AI
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows

Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows

Param Budhraja
Mayank Baranwal
Kunal Garg
A. Hota
ArXivPDFHTML

Papers citing "Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows"

5 / 5 papers shown
Title
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Zhouyuan Huo
Bin Gu
Ji Liu
Heng-Chiao Huang
87
51
0
10 Nov 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
280
1,220
0
16 Aug 2016
A Variational Perspective on Accelerated Methods in Optimization
A Variational Perspective on Accelerated Methods in Optimization
Andre Wibisono
Ashia Wilson
Michael I. Jordan
85
573
0
14 Mar 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
162
1,168
0
04 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.