Random Search for Hyperparameters using Determinantal Point Processes.
Jesse DodgeCatrìona AndersonNoah A. SmithPublished in: CoRR (2017)
Keyphrases
- point processes
- random search
- hyperparameters
- parameter optimization
- grid search
- model selection
- cross validation
- bayesian inference
- closed form
- monte carlo
- random sampling
- support vector
- bayesian framework
- em algorithm
- noise level
- hot spots
- gaussian process
- sample size
- prior information
- simulated annealing
- maximum likelihood
- genetic algorithm
- maximum a posteriori
- incremental learning
- search space
- incomplete data
- parameter settings
- missing values
- artificial neural networks
- parameter space
- expectation maximization
- prior knowledge
- parameter estimation
- markov random field
- upper bound
- bayesian networks
- feature selection
- neural network