Kernel Conditional Moment Constraints for Confounding Robust Inference.

Kei Ishikawa Niao He

Published in: CoRR (2023)

Keyphrases

constraint programming
probabilistic inference
support vector
kernel function
machine learning
learning algorithm
bayesian networks
pairwise
computationally efficient
partial occlusion
belief networks
constrained optimization
kernel learning
inference process
graphical structure