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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit
Alexander Imani Cowen-Rivers
Rasul Tutunov
Ryan-Rhys Griffiths
Jun Wang
Haitham Bou-Ammar
Published in:
CoRR (2020)
Keyphrases
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genetic algorithm
incremental learning
bayesian networks
bayesian learning
bayesian inference
data driven
bayesian decision
bayesian estimation
posterior distribution
posterior probability
graphical models
decision theory
database
mobile robot
evolutionary algorithm
multi agent systems
real world
neural network