Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression.
Tong TengJie ChenYehong ZhangBryan Kian Hsiang LowPublished in: AAAI (2020)
Keyphrases
- gaussian process regression
- covariance function
- variational bayesian
- gaussian processes
- dirichlet process
- gaussian process
- matrix factorization
- multi task learning
- factor analysis
- exponential family
- bayesian methods
- incomplete data
- expectation maximization
- support vector
- co occurrence
- high dimensional
- feature space