Causal Discovery with Multi-Domain LiNGAM for Latent Factors.
Yan ZengShohei ShimizuRuichu CaiFeng XieMichio YamamotoZhifeng HaoPublished in: CoRR (2020)
Keyphrases
- multi domain
- causal discovery
- linear non gaussian
- latent factors
- factor analysis
- matrix factorization
- causal models
- causal relationships
- latent variables
- topic models
- cross domain
- discovery process
- causal structure
- bayesian networks
- domain specific
- directed acyclic graph
- implicit feedback
- probabilistic latent semantic analysis
- nonnegative matrix factorization
- conditional independence
- latent dirichlet allocation
- heterogeneous networks
- observational data
- independent component analysis
- random variables
- missing data
- collaborative filtering
- prior knowledge
- data mining
- causal ordering
- training data
- learning environment
- user behavior
- decision problems
- databases