Causal Discovery from Incomplete Data: A Deep Learning Approach.
Yuhao WangVlado MenkovskiHao WangXin DuMykola PechenizkiyPublished in: CoRR (2020)
Keyphrases
- deep learning
- incomplete data
- causal discovery
- bayesian networks
- causal relationships
- causal models
- unsupervised learning
- discovery process
- missing values
- missing data
- machine learning
- conditional independence
- em algorithm
- directed acyclic graph
- probability distribution
- hyperparameters
- probabilistic inference
- mental models
- weakly supervised
- structure learning
- probabilistic model
- data points
- data mining
- random variables
- computer vision
- information retrieval
- dimensionality reduction