Bayesian nonparametric covariance regression.
Emily B. FoxDavid B. DunsonPublished in: J. Mach. Learn. Res. (2015)
Keyphrases
- bayesian nonparametric
- gaussian process
- regression model
- gaussian processes
- mixture model
- inverse reinforcement learning
- variational inference
- model selection
- semi supervised
- preference elicitation
- latent variables
- approximate inference
- multi criteria
- probabilistic graphical models
- unsupervised learning
- expectation maximization
- hierarchical dirichlet process
- active learning