Causal Discovery with Latent Confounders Based on Higher-Order Cumulants.

Ruichu Cai Zhiyi Huang Wei Chen Zhifeng Hao Kun Zhang

Published in: ICML (2023)

Keyphrases

causal discovery
higher order
observational data
latent variables
causal models
causal relationships
causal structure

high order
discovery process
fourth order
bayesian networks
directed acyclic graph
causal effects
natural images

experimental data
conditional independence
probabilistic model
higher order statistics
markov random field
markov blanket
pairwise

conditional random fields
random variables
knowledge discovery
database
gaussian process
information retrieval