Compressed Gaussian Process for Manifold Regression.
Rajarshi GuhaniyogiDavid B. DunsonPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- gaussian process
- regression model
- gaussian processes
- gaussian process regression
- covariance function
- model selection
- reproducing kernel hilbert space
- sparse approximations
- gaussian process classification
- hyperparameters
- approximate inference
- latent space
- bayesian framework
- latent variables
- manifold learning
- expectation propagation
- conditional distribution
- semi supervised
- gaussian process models
- cross validation
- bayesian networks
- incremental learning