Scalable Bayesian Optimization Using Deep Neural Networks.
Jasper SnoekOren RippelKevin SwerskyRyan KirosNadathur SatishNarayanan SundaramMd. Mostofa Ali Patwary PrabhatRyan P. AdamsPublished in: ICML (2015)
Keyphrases
- neural network
- highly non linear
- optimization problems
- bayesian networks
- data driven
- efficient optimization
- optimization algorithm
- pattern recognition
- fuzzy logic
- optimization methods
- belief nets
- bayesian analysis
- global optimization
- optimization process
- neural nets
- recurrent neural networks
- posterior probability
- optimization method
- fault diagnosis
- back propagation
- activation function
- bayesian learning
- web scale
- lightweight
- artificial neural networks
- monte carlo sampling
- learning algorithm
- machine learning