Differentiable Compositional Kernel Learning for Gaussian Processes.
Shengyang SunGuodong ZhangChaoqi WangWenyuan ZengJiaman LiRoger B. GrossePublished in: ICML (2018)
Keyphrases
- kernel learning
- gaussian processes
- multi task learning
- gaussian process
- multiple kernel learning
- multi task
- kernel function
- kernel matrix
- objective function
- support vector regression
- loss function
- semi supervised
- learning tasks
- kernel methods
- dimensionality reduction
- decision trees
- data sets
- feature set
- data points
- similarity measure