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Application of Monte Carlo Stochastic Optimization (MOST) to Deep
  Learning

Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning

2 September 2021
Sin-ichi Inage
Hana Hebishima
ArXiv (abs)PDFHTML

Papers citing "Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning"

4 / 4 papers shown
Title
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
99
2,504
0
19 Apr 2019
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent
  Optimization in Policy Gradient Methods
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
Peter Henderson
Joshua Romoff
Joelle Pineau
59
34
0
05 Oct 2018
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
155
6,625
0
22 Dec 2012
1