Adaptive, Distribution-Free Prediction Intervals for Deep Neural Networks.

Danijel Kivaranovic Kory D. Johnson Hannes Leeb

Published in: CoRR (2019)

Keyphrases

distribution free
neural network
prediction intervals
normal distribution
large deviations
image sequences
learning theory
travel time
vc dimension
confidence level
sample complexity
linear regression model
concept class
regression analysis
regression model
special case
objective function
machine learning