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Revisiting the Role of Euler Numerical Integration on Acceleration and
  Stability in Convex Optimization

Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization

23 February 2021
Peiyuan Zhang
Antonio Orvieto
Hadi Daneshmand
Thomas Hofmann
Roy S. Smith
ArXivPDFHTML

Papers citing "Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization"

3 / 3 papers shown
Title
From Gradient Flow on Population Loss to Learning with Stochastic
  Gradient Descent
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Satyen Kale
Jason D. Lee
Chris De Sa
Ayush Sekhari
Karthik Sridharan
24
4
0
13 Oct 2022
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
84
129
0
16 Oct 2018
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
105
1,152
0
04 Mar 2015
1