Sparse Covariance Modeling in High Dimensions with Gaussian Processes.
Rui LiKishan KCFeng CuiJustin DomkeAnne R. HaakePublished in: NeurIPS (2018)
Keyphrases
- gaussian processes
- high dimensions
- covariance function
- high dimensional
- gaussian process
- relevance vector machine
- gaussian process models
- high dimensional data
- gaussian process regression
- high dimensional spaces
- multi task
- poor quality
- sparse representation
- data sets
- latent variables
- hyperparameters
- bayesian framework
- model selection
- dimensionality reduction
- nearest neighbor
- pairwise
- bayesian networks
- computer vision