CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series.
Yuxiao ChengLianglong LiTingxiong XiaoZongren LiJinli SuoKunlun HeQionghai DaiPublished in: AAAI (2024)
Keyphrases
- causal discovery
- high dimensional
- causal models
- causal relationships
- discovery process
- causal structure
- bayesian networks
- multi variate
- low dimensional
- directed acyclic graph
- dimensionality reduction
- markov blanket
- similarity search
- conditional independence
- data points
- high dimensional data
- high dimensionality
- observational data
- dimension reduction
- variable selection
- parameter space
- knowledge discovery
- decision trees
- causal relations
- database
- utility function
- feature space