SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes.
Sanyam KapoorMarc FinziKe Alexander WangAndrew Gordon WilsonPublished in: ICML (2021)
Keyphrases
- gaussian processes
- kernel parameters
- gaussian process
- gaussian process regression
- covariance function
- multi task learning
- relevance vector machine
- human pose estimation
- preference learning
- hyperparameters
- graph kernels
- gaussian process models
- sample size
- machine learning
- multi task
- bayesian framework
- high dimensional data
- higher order
- multi class
- k means
- clustering algorithm
- feature selection