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Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a
  Noisy Quadratic Model

Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model

9 July 2019
Guodong Zhang
Lala Li
Zachary Nado
James Martens
Sushant Sachdeva
George E. Dahl
Christopher J. Shallue
Roger C. Grosse
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Papers citing "Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model"

1 / 51 papers shown
Title
An Empirical Study of Large-Batch Stochastic Gradient Descent with
  Structured Covariance Noise
An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise
Yeming Wen
Kevin Luk
Maxime Gazeau
Guodong Zhang
Harris Chan
Jimmy Ba
ODL
25
22
0
21 Feb 2019
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