Distribution-free inference for regression: discrete, continuous, and in between.

Yonghoon Lee Rina Barber

Published in: NeurIPS (2021)

Keyphrases

distribution free
normal distribution
large deviations
vc dimension
bayesian inference
markov processes
bayesian networks
machine learning
worst case
steady state
sample complexity