On the Laplace Approximation as Model Selection Criterion for Gaussian Processes.
Andreas BesginowJan David HüwelThomas PawellekChristian BeecksMarkus Lange-HegermannPublished in: CoRR (2024)
Keyphrases
- gaussian processes
- gaussian process
- expectation propagation
- covariance function
- gaussian process regression
- bayesian methods
- regression model
- approximate inference
- gaussian process models
- multi task learning
- hyperparameters
- multi task
- relevance vector machine
- bayesian inference
- model selection
- human pose estimation
- preference learning
- text categorization
- machine learning
- latent variables
- higher order
- semi supervised
- learning algorithm