Training Structured Neural Networks Through Manifold Identification and Variance Reduction.

Zih-Syuan Huang Ching-pei Lee

Published in: ICLR (2022)

Keyphrases

variance reduction
neural network
training process
gradient estimation
monte carlo
importance sampling
high dimensional
sample size
bias variance decomposition
low dimensional
training examples
confidence intervals
quasi monte carlo