Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition.
Shengyang SunJiaxin ShiAndrew Gordon WilsonRoger B. GrossePublished in: CoRR (2021)
Keyphrases
- gaussian processes
- kernel parameters
- gaussian process regression
- gaussian process
- covariance function
- relevance vector machine
- graph kernels
- image segmentation
- multi task learning
- human pose estimation
- hyperparameters
- gaussian process models
- preference learning
- multi task
- bayesian inference
- bayesian framework
- multiscale