Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase.
Jan GraßhoffAlexandra JankowskiPhilipp RostalskiPublished in: ICML (2020)
Keyphrases
- gaussian process models
- non stationary
- gaussian process
- gaussian processes
- gaussian process classification
- covariance function
- gaussian process regression
- regression model
- bayesian framework
- model selection
- hyperparameters
- semi supervised
- latent variables
- autoregressive
- expectation propagation
- bayesian inference
- pairwise
- probability distribution
- hidden markov models
- prior knowledge