Kernel Instrumental Variable Regression.
Rahul SinghManeesh SahaniArthur GrettonPublished in: NeurIPS (2019)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- support vector
- classification and regression problems
- gaussian processes
- sparse kernel
- kernel regression
- regression model
- relevance vector machine
- regression method
- linear regression
- regression problems
- kernel function
- gaussian process regression
- regression analysis
- kernel methods
- principal component regression
- support vector regression
- loss function
- gradient boosting
- target variable
- polynomial regression
- predictor variables
- polynomial kernels
- mercer kernels
- kernel partial least squares
- gaussian kernels
- kernel space
- covariance function
- machine learning
- model selection
- feature space
- locally weighted
- nonlinear regression
- convolution kernel
- training data