Causal Discovery by Kernel Deviance Measures with Heterogeneous Transforms.

Tim Tse Zhitang Chen Shengyu Zhu Yue Liu

Published in: CoRR (2024)

Keyphrases

causal discovery
causal models
causal relationships
causal structure
discovery process
bayesian networks
directed acyclic graph
markov blanket
kernel function
knowledge discovery
conditional independence
support vector
kernel methods
data sets
machine learning
observational data
data mining