Scalable Exact Inference in Multi-Output Gaussian Processes.
Wessel BruinsmaEric PerimWilliam TebbuttJ. Scott HoskingArno SolinRichard E. TurnerPublished in: ICML (2020)
Keyphrases
- gaussian processes
- exact inference
- approximate inference
- gaussian process
- graphical models
- bayesian networks
- model selection
- latent variables
- belief propagation
- probabilistic inference
- belief networks
- hyperparameters
- regression model
- variational methods
- bayesian framework
- dynamic bayesian networks
- input data
- probabilistic model
- structured prediction
- multi task
- conditional random fields
- noise level
- em algorithm
- semi supervised