A Study of Bayesian Neural Network Surrogates for Bayesian Optimization.

Yucen Lily Li Tim G. J. Rudner Andrew Gordon Wilson

Published in: ICLR (2024)

Keyphrases

neural network
maximum likelihood
efficient optimization
theoretical framework
optimization process
bayesian networks
expert systems
empirical studies
bayesian learning
decision theory
bayesian inference
bayesian decision
recurrent neural networks
global optimization
simulation study
experimental study
data driven