High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB.
Sami AlabedEiko YonekiPublished in: CoRR (2021)
Keyphrases
- multi task learning
- gaussian processes
- high dimensional
- multi task
- representer theorem
- multiple tasks
- multi label image annotation
- multitask learning
- learning tasks
- learning problems
- gaussian process
- theoretical analysis
- transfer learning
- parameter space
- supervised learning
- dirichlet process
- bayesian inference
- similarity search
- metric learning
- unsupervised learning
- nearest neighbor
- multi class
- data mining