Multi-Fidelity Bayesian Optimization via Deep Neural Networks.
Shibo LiWei XingRobert M. KirbyShandian ZhePublished in: NeurIPS (2020)
Keyphrases
- neural network
- pattern recognition
- belief nets
- bayesian networks
- efficient optimization
- fuzzy logic
- optimization algorithm
- global optimization
- back propagation
- optimization process
- multi layer
- bayesian inference
- data driven
- optimization problems
- feed forward
- training process
- neural nets
- neural learning
- highly non linear
- bi level
- discrete optimization
- fuzzy neural network
- gaussian processes
- constrained optimization
- maximum likelihood
- artificial neural networks
- genetic algorithm