Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning.
Robert E. McCullochRodney A. SparapaniBrent R. LoganPurushottam W. LaudPublished in: CoRR (2021)
Keyphrases
- causal inference
- bayesian nonparametric
- machine learning
- inverse reinforcement learning
- gaussian process
- additive noise
- causal models
- text classification
- model selection
- supervised learning
- decision trees
- feature selection
- natural language processing
- information extraction
- active learning
- co occurrence
- text mining
- maximum likelihood
- noisy images
- learning algorithm