Causal Effect Inference with Deep Latent-Variable Models.

Christos Louizos Uri Shalit Joris M. Mooij David A. Sontag Richard S. Zemel Max Welling

Published in: CoRR (2017)

Keyphrases

latent variable models
latent variables
graphical structure
latent dirichlet allocation
real valued
hidden markov models
bayesian inference
hidden variables
bayesian networks
learning problems
belief networks
probabilistic inference
topic models
dynamical systems
structured prediction