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Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model.
Guodong Zhang
Lala Li
Zachary Nado
James Martens
Sushant Sachdeva
George E. Dahl
Christopher J. Shallue
Roger B. Grosse
Published in:
NeurIPS (2019)
Keyphrases
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probabilistic model
mathematical model
computational model
objective function
high level
reinforcement learning
recommender systems
markov random field
theoretical framework
statistical model
conceptual model
formal model
network model