-
Multivariate Continuous-Time Continuous-Trait Gaussian Evolution along a Phyl...
The dataset used in this paper is a multivariate continuous-time continuous-trait Gaussian evolution along a phylogeny. It is a collection of trait vectors for N species, where... -
Exponential covariance function
We consider a realization of a Gaussian process with mean zero and the exponential covariance function: For x, x′ ∈ [0, 10/], define the exponential covariance function as √... -
Wave covariance function
We consider a realization of a Gaussian process with mean zero and the wave covariance function: For x, x′ ∈ [0, 10/], define the wave covariance function as √ cov(x, x′) = sin... -
Structure-preserving Gaussian Process Dynamics
The dataset is used for learning structure-preserving Gaussian process dynamics. -
Synthetic datasets
The authors used synthetic datasets with temporal dependencies and actions. The datasets have 1 million examples, with dimensionality of X t = 20 and ground-truth f is a random... -
Sparse additive Gaussian process with soft interactions
Additive nonparametric regression models provide an attractive tool for variable selection in high dimensions when the relationship between the response and predictors is complex.
