On Parallelizing Multi-Task Bayesian Optimization.
Matthew J. GrovesMichael PearceJürgen BrankePublished in: WSC (2018)
Keyphrases
- multi task
- multi task learning
- gaussian processes
- multitask learning
- learning tasks
- multiple tasks
- learning problems
- sparse learning
- transfer learning
- feature selection
- efficient optimization
- multi class
- optimization problems
- bayesian inference
- information gain
- multiple kernel learning
- bayesian networks
- learning algorithm
- high order
- maximum likelihood