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