Bayesian Topic Regression for Causal Inference.

Maximilian Ahrens Julian Ashwin Jan-Peter Calliess Vu Nguyen

Published in: CoRR (2021)

Keyphrases

causal inference
additive noise
causal models
abductive reasoning
maximum likelihood
nonmonotonic reasoning
discrete data
rare events
bayesian networks
topic models
maximum entropy
posterior probability
support vector
noisy images
latent dirichlet allocation