Neural variance reduction for stochastic differential equations.

P. D. Hinds Michael V. Tretyakov

Published in: CoRR (2022)

Keyphrases

variance reduction
stochastic differential equations
maximum a posteriori estimation
sample size
monte carlo
network architecture
brownian motion
additive gaussian noise
importance sampling
naive bayes classifier
upper bound
confidence intervals
model selection
stochastic process