Causal Inference using Gaussian Processes with Structured Latent Confounders.
Sam WittyKenta TakatsuDavid D. JensenVikash MansinghkaPublished in: CoRR (2020)
Keyphrases
- gaussian processes
- causal inference
- observational data
- latent variables
- gaussian process
- probabilistic model
- experimental data
- additive noise
- approximate inference
- causal discovery
- causal models
- topic models
- prior knowledge
- nonmonotonic reasoning
- random variables
- abductive reasoning
- causal relationships
- directed acyclic graph
- discrete data
- learning tasks
- graphical models
- support vector
- bayesian inference
- lower bound