Neural Time-Invariant Causal Discovery from Time Series Data.
Saima AbsarYongkai WuLu ZhangPublished in: IJCNN (2023)
Keyphrases
- causal discovery
- causal models
- causal relationships
- discovery process
- causal structure
- bayesian networks
- neural network
- network architecture
- directed acyclic graph
- markov blanket
- conditional independence
- maximum likelihood
- database
- high dimensional
- causal graph
- observational data
- decision problems
- graphical models
- knn
- dynamic programming
- causal relations
- machine learning
- data sets