Model-based Causal Bayesian Optimization.

Scott Sussex Pier Giuseppe Sessa Anastasiia Makarova Andreas Krause

Published in: CoRR (2023)

Keyphrases

bayesian networks
global optimization
optimization algorithm
efficient optimization
optimization process
data sets
data driven
causal relationships
bayesian learning
data mining
optimization problems
bayesian estimation
evolutionary algorithm
constrained optimization
causal networks
bayesian analysis