An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings.
Meyer ScetbonLaurent MeunierYaniv RomanoPublished in: ICML (2022)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- structure learning
- learning bayesian networks
- directed acyclic graph
- structure and parameter learning
- axiomatic characterization
- causal models
- probability distribution
- bayesian network structure
- possibility theory
- gaussian model
- hilbert space
- vector space
- probabilistic model
- chain graphs
- statistical independence
- probability theory
- feature space
- conditional independencies
- causal discovery
- kernel methods
- markov blanket
- mutual information
- kernel function
- conditional random fields
- euclidean space
- incomplete information