An Interpretable and Sample Efficient Deep Kernel for Gaussian Process.
Yijue DaiTianjian ZhangZhidi LinFeng YinSergios TheodoridisShuguang CuiPublished in: UAI (2020)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- model selection
- regression model
- covariance function
- reproducing kernel hilbert space
- gaussian process classification
- hyperparameters
- approximate inference
- sparse approximations
- bayesian framework
- gaussian process models
- prior knowledge
- support vector
- machine learning
- data sets