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Accelerating SGD using flexible variance reduction on large-scale datasets.
Mingxing Tang
Linbo Qiao
Zhen Huang
Xinwang Liu
Yuxing Peng
Xueliang Liu
Published in:
Neural Comput. Appl. (2020)
Keyphrases
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variance reduction
gradient estimation
monte carlo
sample size
bias variance decomposition
stability of feature selection
naive bayes classifier
importance sampling
data sets
machine learning
learning algorithm
stochastic gradient descent