Posterior and Computational Uncertainty in Gaussian Processes.
Jonathan WengerGeoff PleissMarvin PförtnerPhilipp HennigJohn P. CunninghamPublished in: CoRR (2022)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- ordinal regression
- covariance function
- gaussian process models
- bayesian framework
- regression model
- multi task learning
- preference learning
- hyperparameters
- human pose estimation
- bayesian methods
- relevance vector machine
- semi supervised
- latent variables
- posterior distribution
- model selection
- cross validation
- e learning
- probabilistic model
- lower bound