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Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization.
Ali Kavis
Stratis Skoulakis
Kimon Antonakopoulos
Leello Tadesse Dadi
Volkan Cevher
Published in:
CoRR (2022)
Keyphrases
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variance reduction
monte carlo
gradient estimation
objective function
sample size
importance sampling
convex functions
random numbers
bias variance decomposition
machine learning
learning algorithm
knn
markov chain
kalman filter