Multi-Fidelity Bayesian Optimization via Deep Neural Networks.
Shibo LiWei XingMike KirbyShandian ZhePublished in: CoRR (2020)
Keyphrases
- neural network
- optimization algorithm
- pattern recognition
- back propagation
- belief nets
- efficient optimization
- optimization problems
- maximum likelihood
- highly non linear
- bayesian networks
- decision theory
- self organizing maps
- optimization method
- combinatorial optimization
- multi layer
- neural network model
- neural nets
- global optimization
- learning algorithm
- optimization methods
- multilayer perceptron
- posterior distribution
- constrained optimization
- network architecture
- fuzzy neural network
- optimization model
- power system
- fuzzy logic
- monte carlo sampling
- reinforcement learning