Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression.
Tong TengJie ChenYehong ZhangKian Hsiang LowPublished in: CoRR (2019)
Keyphrases
- gaussian process regression
- covariance function
- variational bayesian
- gaussian processes
- dirichlet process
- gaussian process
- multi task learning
- matrix factorization
- factor analysis
- exponential family
- expectation maximization
- mixture model
- em algorithm
- learning algorithm
- regression model
- bayesian methods
- collaborative filtering
- high dimensional