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Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction.
Zijian Liu
Perry Dong
Srikanth Jagabathula
Zhengyuan Zhou
Published in:
CoRR (2023)
Keyphrases
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stochastic optimization
variance reduction
multistage
gradient estimation
sample size
monte carlo
importance sampling
bias variance decomposition
convergence rate
confidence intervals
test set
convex optimization
maximum likelihood
probability distribution
support vector
decision trees
learning algorithm