The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective.
Geoff PleissJohn P. CunninghamPublished in: CoRR (2021)
Keyphrases
- gaussian process
- neural network
- gaussian processes
- regression model
- gaussian process regression
- gaussian process classification
- model selection
- bayesian framework
- latent variables
- approximate inference
- covariance function
- back propagation
- hyperparameters
- marginal likelihood
- expectation propagation
- semi supervised
- gaussian process models
- genetic algorithm
- dynamical model
- data sets
- sparse approximations
- data mining
- pairwise
- cross validation
- generative model