Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables.
Rune ChristiansenJonas PetersPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- latent variables
- regression model
- causal inference
- observational data
- discrete data
- probabilistic model
- additive noise
- gaussian process
- random variables
- continuous data
- topic models
- posterior distribution
- causal models
- model selection
- latent variable models
- prior knowledge
- approximate inference
- hidden variables
- abductive reasoning
- linear model
- probability distribution
- experimental data
- training data
- noisy images
- data mining
- continuous variables
- feature selection