Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees.
Alexander TereninDavid R. BurtArtem ArtemevSeth FlaxmanMark van der WilkCarl Edward RasmussenHong GePublished in: CoRR (2022)
Keyphrases
- gaussian processes
- numerically stable
- covariance function
- relevance vector machine
- gaussian process
- gaussian process regression
- numerical stability
- polynomial equations
- decision trees
- hyperparameters
- multi task learning
- human pose estimation
- high dimensional
- non stationary
- multi task
- regression model
- closed form
- latent variables
- d objects
- support vector