Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization.

Published in: CoRR (2019)

Keyphrases

data sets
database
high quality
raw data
prior knowledge
synthetic data
data analysis
statistical analysis
data quality
data collection
maximum likelihood
optimization problems
objective function
data processing
image data
spatial data
data distribution
bayesian networks
global optimization
learning algorithm