Causal Inference Despite Limited Global Confounding via Mixture Models.
Spencer L. GordonBijan MazaheriYuval RabaniLeonard J. SchulmanPublished in: CLeaR (2023)
Keyphrases
- mixture model
- causal inference
- gaussian mixture model
- em algorithm
- generative model
- probabilistic model
- additive noise
- maximum likelihood
- model selection
- expectation maximization
- language model
- discrete data
- abductive reasoning
- unsupervised learning
- pattern recognition
- causal models
- nonmonotonic reasoning
- knowledge discovery
- data mining
- data sets
- prior knowledge
- machine learning