Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments.
Rahul SinghPublished in: CoRR (2020)
Keyphrases
- kernel methods
- support vector
- learning problems
- kernel function
- kernel matrix
- feature space
- support vector machine
- similarity function
- machine learning
- reproducing kernel hilbert space
- kernel parameters
- learning tasks
- kernel pca
- high dimensional feature space
- multiple kernel
- kernel matrices
- kernel fisher discriminant analysis
- kernel based clustering
- multiple kernel learning
- reduced set
- neural network
- kernel learning
- kernel trick
- learning frameworks