Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.
Bin GuGuodong LiuYanfu ZhangXiang GengHeng HuangPublished in: CoRR (2021)
Keyphrases
- hyperparameters
- learning algorithm
- model selection
- cross validation
- random sampling
- bayesian inference
- closed form
- support vector
- bayesian framework
- gaussian process
- noise level
- em algorithm
- prior information
- sample size
- maximum a posteriori
- incremental learning
- maximum likelihood
- active learning
- back propagation
- grid search
- machine learning
- gaussian process regression
- reinforcement learning
- parameter settings
- machine learning algorithms
- learning process
- parameter space
- training data
- gaussian processes
- learning tasks
- missing values
- expectation maximization
- generalization ability
- incomplete data