A Bayesian Perspective on Training Speed and Model Selection.
Clare LyleLisa SchutRobin RuYarin GalMark van der WilkPublished in: NeurIPS (2020)
Keyphrases
- model selection
- training speed
- bayesian learning
- marginal likelihood
- bayesian model selection
- cross validation
- hyperparameters
- posterior distribution
- learning rate
- parameter estimation
- sample size
- training process
- support vector machine
- feature selection
- regression model
- model selection criteria
- generalization error
- machine learning
- bp neural network
- bayesian inference
- information criterion
- bayesian networks
- neural network
- convergence speed
- gaussian process
- knn
- support vector