Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.
Zi WangChengtao LiStefanie JegelkaPushmeet KohliPublished in: ICML (2017)
Keyphrases
- kernel learning
- high dimensional
- kernel function
- dimensionality reduction
- optimal kernel
- kernel matrix
- multiple kernel learning
- support vector regression
- semidefinite program
- kernel methods
- feature space
- similarity search
- learning tasks
- quadratically constrained quadratic
- machine learning
- input space
- nearest neighbor
- semi supervised
- feature selection
- low dimensional
- variable selection
- support vectors
- support vector machine
- feature vectors
- feature extraction
- decision trees