Bayesian Deep Ensembles via the Neural Tangent Kernel.
Bobby HeBalaji LakshminarayananYee Whye TehPublished in: CoRR (2020)
Keyphrases
- belief nets
- gaussian processes
- neural network
- network architecture
- kernel function
- decision trees
- bayesian networks
- kernel methods
- positive definite
- ensemble methods
- support vector
- bayesian estimation
- feature space
- kernel regression
- bayesian inference
- posterior probability
- relevance vector machine
- learning machines
- bayesian learning
- component analysis
- reproducing kernel hilbert space
- neural model
- model selection
- decision stumps
- ensemble selection