Probabilistic Bayesian optimal experimental design using conditional normalizing flows.

Rafael Orozco Felix J. Herrmann Peng Chen

Published in: CoRR (2024)

Keyphrases

experimental design
stochastic dynamic programming
bayesian networks
active learning
sample size
empirical studies
posterior probability
experimental designs
worst case
conditional probabilities
optimal solution
feature selection
class imbalance