Differentiable Compositional Kernel Learning for Gaussian Processes.
Shengyang SunGuodong ZhangChaoqi WangWenyuan ZengJiaman LiRoger B. GrossePublished in: CoRR (2018)
Keyphrases
- kernel learning
- gaussian processes
- multi task learning
- gaussian process
- semi supervised
- multiple kernel learning
- kernel matrix
- multi task
- kernel function
- support vector regression
- objective function
- loss function
- hyperparameters
- learning tasks
- dimensionality reduction
- bayesian framework
- kernel methods
- e learning
- metric learning
- labeled data