Scalable Exact Inference in Multi-Output Gaussian Processes.
Wessel P. BruinsmaEric PerimWilliam TebbuttJ. Scott HoskingArno SolinRichard E. TurnerPublished in: CoRR (2019)
Keyphrases
- gaussian processes
- exact inference
- gaussian process
- approximate inference
- graphical models
- latent variables
- bayesian networks
- probabilistic inference
- belief networks
- belief propagation
- variational methods
- regression model
- structured prediction
- multi task
- dynamic bayesian networks
- hyperparameters
- bayesian framework
- message passing
- closed form
- topic models
- model selection
- input data
- semi supervised
- conditional random fields
- cross validation
- information extraction
- probabilistic model