Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction.

Luka Malashkhia Dehao Liu Yanglong Lu Yan Wang

Published in: J. Comput. Inf. Sci. Eng. (2023)

Keyphrases

variance reduction
neural network
sample size
monte carlo
bias variance decomposition
gradient estimation
quasi monte carlo
confidence intervals
importance sampling
naive bayes classifier
bayesian networks
maximum likelihood
upper bound
machine learning
semi supervised
posterior probability