Bayesian optimization for conditional hyperparameter spaces.

Julien-Charles Levesque Audrey Durand Christian Gagné Robert Sabourin

Published in: IJCNN (2017)

Keyphrases

gaussian processes
optimization algorithm
optimization problems
optimization method
optimization process
efficient optimization
bayesian networks
multi objective
global optimization
data driven
prior information
optimization methods
constrained optimization
discrete optimization
monte carlo sampling