High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB.
Sami AlabedEiko YonekiPublished in: EuroMLSys@EuroSys (2021)
Keyphrases
- multi task learning
- high dimensional
- gaussian processes
- multi task
- representer theorem
- learning tasks
- multiple tasks
- multitask learning
- learning problems
- multi label image annotation
- high order
- learning algorithm
- transfer learning
- data points
- theoretical analysis
- similarity search
- regression model
- graphical models
- nearest neighbor
- dirichlet process
- bayesian networks
- gaussian process
- social network analysis
- bayesian inference
- inductive learning
- kernel function
- dimensionality reduction
- supervised learning
- knn
- prior knowledge
- similarity measure