Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference.
Xiaoyu JiangSokratia GeorgakaMagnus RattrayMauricio A. ÁlvarezPublished in: CoRR (2024)
Keyphrases
- gaussian process
- gaussian processes
- variational inference
- regression model
- hyperparameters
- bayesian inference
- approximate inference
- dirichlet process
- model selection
- bayesian framework
- latent variables
- semi supervised
- multi task learning
- topic models
- posterior distribution
- machine learning
- probabilistic graphical models
- mixture model
- probabilistic model
- cross validation
- multiscale
- bayesian networks
- training data