Bayesian causal inference via probabilistic program synthesis.
Sam WittyAlexander K. LewDavid D. JensenVikash MansinghkaPublished in: CoRR (2019)
Keyphrases
- program synthesis
- causal inference
- bayesian networks
- posterior probability
- abductive reasoning
- additive noise
- discrete data
- probabilistic model
- causal models
- decision theory
- nonmonotonic reasoning
- maximum likelihood
- rare events
- bayesian inference
- probabilistic logic
- generative model
- probabilistic reasoning
- natural language
- inductive logic programming
- noisy images
- logic programming
- training data