Adversarial balancing-based representation learning for causal effect inference with observational data.
Xin DuLei SunWouter DuivesteijnAlexander G. NikolaevMykola PechenizkiyPublished in: Data Min. Knowl. Discov. (2021)
Keyphrases
- learning algorithm
- causal bayesian networks
- experimental data
- feature selection
- inference process
- structured prediction
- dynamic bayesian networks
- active learning
- learning process
- dynamic programming
- co occurrence
- markov chain
- probabilistic inference
- prior knowledge
- reinforcement learning
- causal structure
- bayesian networks