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: NIPS (2017)

Keyphrases

latent variable models
latent variables
graphical structure
real valued
bayesian networks
hidden variables
hidden markov models
latent dirichlet allocation
probabilistic inference
latent space
learning problems
bayesian inference
feature space
probabilistic model
belief networks
structured prediction