Causal Discovery with Multi-Domain LiNGAM for Latent Factors.
Yan ZengShohei ShimizuRuichu CaiFeng XieMichio YamamotoZhifeng HaoPublished in: IJCAI (2021)
Keyphrases
- multi domain
- causal discovery
- linear non gaussian
- latent factors
- factor analysis
- matrix factorization
- causal models
- causal relationships
- latent variables
- discovery process
- implicit feedback
- topic models
- cross domain
- causal structure
- nonnegative matrix factorization
- domain specific
- probabilistic latent semantic analysis
- bayesian networks
- directed acyclic graph
- conditional independence
- latent dirichlet allocation
- independent component analysis
- heterogeneous networks
- knowledge discovery
- recommender systems
- missing data
- probabilistic model
- observational data
- data sets
- transfer learning
- visual features
- graphical models
- collaborative filtering
- decision making
- learning algorithm