Scalable Structure Discovery in Regression using Gaussian Processes.
Hyunjik KimYee Whye TehPublished in: AutoML@ICML (2016)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- ordinal regression
- relevance vector machine
- covariance function
- multitask learning
- human pose estimation
- gaussian process models
- regression model
- multi task learning
- preference learning
- multi task
- model selection
- hyperparameters
- pose estimation
- non stationary
- particle filter
- maximum likelihood
- collaborative filtering
- multi class