Posterior and Computational Uncertainty in Gaussian Processes.
Jonathan WengerGeoff PleissMarvin PförtnerPhilipp HennigJohn P. CunninghamPublished in: NeurIPS (2022)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- covariance function
- multi task learning
- ordinal regression
- regression model
- bayesian framework
- hyperparameters
- preference learning
- gaussian process models
- relevance vector machine
- human pose estimation
- model selection
- multi task
- posterior distribution
- bayesian methods
- prior information
- particle filter
- semi supervised
- prior knowledge
- bayesian networks