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Nonconvex optimization with inertial proximal stochastic variance reduction gradient.
Lulu He
Jimin Ye
Jianwei E
Published in:
Inf. Sci. (2023)
Keyphrases
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variance reduction
gradient estimation
monte carlo
optimization problems
policy gradient
objective function
importance sampling
bias variance decomposition
sample size
confidence intervals
machine learning
lower bound
trade off
kalman filter
naive bayes classifier
quasi monte carlo