Kernel Instrumental Variable Regression.
Rahul SinghManeesh SahaniArthur GrettonPublished in: CoRR (2019)
Keyphrases
- kernel ridge regression
- gaussian processes
- reproducing kernel hilbert space
- sparse kernel
- regression model
- support vector
- kernel regression
- regression method
- classification and regression problems
- gaussian process regression
- kernel methods
- logistic regression
- linear regression
- gradient boosting
- predictor variables
- regression methods
- regression problems
- regression analysis
- principal component regression
- kernel function
- model selection
- kernel machines
- target variable
- feature space
- sparse regression
- simple linear
- convolution kernel
- kernel partial least squares
- kernel space
- partial least squares
- support vector regression
- kernel matrices
- response variable
- relevance vector machine
- neural network
- kernel learning
- kernel matrix
- training data