Model Selection in Bayesian Neural Networks via Horseshoe Priors.
Soumya GhoshJiayu YaoFinale Doshi-VelezPublished in: J. Mach. Learn. Res. (2019)
Keyphrases
- model selection
- bayesian model averaging
- neural network
- bayesian approaches
- bayesian learning
- marginal likelihood
- hyperparameters
- cross validation
- bayesian model selection
- statistical inference
- posterior distribution
- prior distribution
- bayesian methods
- sample size
- parameter estimation
- covariate shift
- regression model
- gaussian process
- prior probabilities
- machine learning
- gaussian processes
- meta learning
- statistical learning
- variable selection
- generalization error
- bayesian framework
- mixture model
- bayesian models
- feature selection
- posterior probability
- information criterion
- bayesian networks
- model selection criteria
- selection criterion
- motion segmentation
- subspace information criterion
- maximum likelihood
- generative model
- error estimation
- generalization bounds