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: CoRR (2019)
Keyphrases
- hyperparameters
- posterior distribution
- bayesian inference
- model selection
- gaussian processes
- cross validation
- marginal likelihood
- maximum likelihood
- gaussian process
- bayesian framework
- bayesian methods
- learning environment
- closed form
- regularization parameter
- prior information
- parameter settings
- conjugate priors
- bayesian networks
- latent variables
- maximum a posteriori
- incomplete data
- random sampling
- image reconstruction
- em algorithm
- support vector
- data sets
- posterior probability
- missing values
- sample size
- computer vision
- machine learning
- grid search
- data mining