Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly.
Kirthevasan KandasamyKarun Raju VysyarajuWillie NeiswangerBiswajit PariaChristopher R. CollinsJeff SchneiderBarnabás PóczosEric P. XingPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- hyperparameters
- posterior distribution
- bayesian inference
- model selection
- gaussian processes
- cross validation
- bayesian methods
- maximum likelihood
- learning environment
- closed form
- bayesian framework
- marginal likelihood
- em algorithm
- gaussian process
- random sampling
- prior information
- sample size
- support vector
- incremental learning
- maximum a posteriori
- bayesian networks
- regularization parameter
- posterior probability
- parameter settings
- machine learning
- genetic algorithm ga
- higher order
- probabilistic model