Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning.
Xiaoshui HuangFujin ZhuLois HollowayAli HaidarPublished in: CoRR (2020)
Keyphrases
- incomplete data
- causal discovery
- bayesian networks
- reinforcement learning
- causal models
- causal relationships
- learning bayesian networks
- causal structure
- discovery process
- missing data
- conditional independence
- missing values
- incomplete data sets
- directed acyclic graph
- hyperparameters
- em algorithm
- state space
- probabilistic model
- observational data
- learning algorithm
- optimal policy
- structure learning
- random variables
- probabilistic inference
- naive bayes
- probability distribution
- influence diagrams
- conditional probabilities
- database
- graphical models
- knowledge discovery
- learning process
- training data
- computer vision
- machine learning