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Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization.
James Vuckovic
Published in:
CoRR (2018)
Keyphrases
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stochastic optimization
variance reduction
multistage
gradient estimation
monte carlo
sample size
importance sampling
objective function
kalman filter
probabilistic inference
bias variance decomposition
lower bound
linear programming
confidence intervals