Scalable Log Determinants for Gaussian Process Kernel Learning.
Kun DongDavid ErikssonHannes NickischDavid BindelAndrew Gordon WilsonPublished in: CoRR (2017)
Keyphrases
- gaussian process
- kernel learning
- semi supervised
- gaussian processes
- regression model
- multi task learning
- support vector regression
- kernel matrix
- kernel function
- pairwise constraints
- latent variables
- model selection
- kernel methods
- labeled data
- multiple kernel learning
- bayesian framework
- hyperparameters
- metric learning
- learning tasks
- supervised learning
- pairwise
- semi supervised learning
- random sampling
- bayesian inference