Scalable Log Determinants for Gaussian Process Kernel Learning.
Kun DongDavid ErikssonHannes NickischDavid BindelAndrew Gordon WilsonPublished in: NIPS (2017)
Keyphrases
- gaussian process
- kernel learning
- semi supervised
- gaussian processes
- kernel matrix
- regression model
- multi task learning
- model selection
- pairwise constraints
- kernel function
- support vector regression
- multiple kernel learning
- hyperparameters
- bayesian framework
- labeled data
- supervised learning
- latent variables
- semi supervised learning
- metric learning
- active learning
- distance metric
- data sets
- dimensionality reduction
- pairwise
- learning tasks
- incremental learning
- low rank
- kernel methods
- cross validation
- prior knowledge
- bayesian inference
- maximum likelihood
- support vector
- reinforcement learning
- image processing