SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes.
Sanyam KapoorMarc FinziKe Alexander WangAndrew Gordon WilsonPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- kernel parameters
- gaussian process
- gaussian process regression
- covariance function
- graph kernels
- multi task learning
- relevance vector machine
- preference learning
- human pose estimation
- multi task
- gaussian process models
- hyperparameters
- regression model
- kernel function
- em algorithm
- learning process