Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes.
Sebastian W. OberLaurence AitchisonPublished in: CoRR (2020)
Keyphrases
- gaussian processes
- gaussian process
- hyperparameters
- multi task learning
- posterior distribution
- bayesian approaches
- bayesian methods
- gaussian process regression
- bayesian inference
- multi task
- human pose estimation
- relevance vector machine
- bayesian framework
- posterior probability
- gaussian process models
- model selection
- covariance function
- image processing
- preference learning
- image segmentation
- dirichlet process
- prior knowledge
- random variables
- feature selection