Stochastic Gradient Langevin Dynamics with Variance Reduction.

Zhishen Huang Stephen Becker

Published in: IJCNN (2021)

Keyphrases

stochastic gradient
variance reduction
monte carlo
sample size
stochastic gradient descent
importance sampling
nearest neighbor classifier
step size
confidence intervals
naive bayes classifier
machine learning
feature selection
image sequences
knn
upper bound
markov chain
data sets
learning algorithm