Sparse Gaussian Processes for Bayesian Optimization.
Mitchell McIntireDaniel RatnerStefano ErmonPublished in: UAI (2016)
Keyphrases
- gaussian processes
- relevance vector machine
- covariance function
- gaussian process
- gaussian process regression
- bayesian approaches
- multi task learning
- bayesian methods
- human pose estimation
- gaussian process models
- multi task
- preference learning
- latent variables
- semi supervised
- high dimensional
- bayesian networks
- machine learning
- sparse representation
- regression model
- random variables
- model selection
- probability distribution