Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection.

Published in: CoRR (2021)

Keyphrases

causal inference
kernel ridge regression
sample selection
active learning
kernel methods
training data
causal models
support vector machine
discrete data
nonmonotonic reasoning
pattern recognition
multi class
missing data
support vector machine svm
classification algorithm