Product Kernel Interpolation for Scalable Gaussian Processes.
Jacob R. GardnerGeoff PleissRuihan WuKilian Q. WeinbergerAndrew Gordon WilsonPublished in: AISTATS (2018)
Keyphrases
- gaussian processes
- kernel parameters
- gaussian process regression
- gaussian process
- covariance function
- multi task learning
- graph kernels
- relevance vector machine
- human pose estimation
- hyperparameters
- gaussian process models
- preference learning
- active learning
- bayesian inference
- model selection
- feature space
- machine learning