Bayesian Topic Regression for Causal Inference.

Maximilian Ahrens Julian Ashwin Jan-Peter Calliess Vu Nguyen

Published in: EMNLP (1) (2021)

Keyphrases

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