Likelihood-ratio-based confidence intervals for neural networks.

Laurens Sluijterman Eric Cator Tom Heskes

Published in: CoRR (2023)

Keyphrases

likelihood ratio
confidence intervals
hypothesis testing
neural network
hypothesis test
markov chain
sample size
likelihood ratio test
stopping rules
limit theorems
stochastic systems
test set
match scores
conditional probabilities
monte carlo
feature extraction
roc curve
variance reduction
steady state