High-dimensional additive Gaussian processes under monotonicity constraints.
Andrés F. López-LoperaFrançois BachocOlivier RoustantPublished in: CoRR (2022)
Keyphrases
- gaussian processes
- monotonicity constraints
- high dimensional
- gaussian process
- low dimensional
- gaussian process regression
- logic programs
- multi task learning
- dimensionality reduction
- high dimensional data
- covariance function
- equality constraints
- feature space
- multi task
- hyperparameters
- data points
- gaussian process models
- decision trees
- parameter space
- incomplete data
- kernel function
- generative model
- maximum likelihood
- semi supervised
- knn