Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series.
Min ZhengSamantha KleinbergPublished in: MLHC (2019)
Keyphrases
- latent variables
- causal inference
- observational data
- rare events
- additive noise
- random variables
- prior knowledge
- probabilistic model
- posterior distribution
- causal models
- topic models
- gaussian process
- abductive reasoning
- approximate inference
- importance sampling
- fraud detection
- discrete data
- generative model
- nonmonotonic reasoning
- graphical models
- information retrieval
- noisy images
- logic programs