Causal Discovery with Multi-Domain LiNGAM for Latent Factors.
Yan ZengShohei ShimizuRuichu CaiFeng XieMichio YamamotoZhifeng HaoPublished in: CAWS (2021)
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
- bayesian networks
- causal structure
- domain specific
- probabilistic latent semantic analysis
- implicit feedback
- nonnegative matrix factorization
- latent dirichlet allocation
- directed acyclic graph
- conditional independence
- real world
- random variables
- missing data
- heterogeneous networks
- collaborative filtering
- prior knowledge
- observational data
- information retrieval
- data sets
- independent component analysis
- co occurrence
- text mining
- probabilistic model
- decision making