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Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data.
Xin Du
Lei Sun
Wouter Duivesteijn
Alexander G. Nikolaev
Mykola Pechenizkiy
Published in:
CoRR (2019)
Keyphrases
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reinforcement learning
learning process
prior knowledge
learning algorithm
active learning
experimental data
dynamic bayesian networks
causal bayesian networks
bayesian networks
probabilistic inference
inference process
observational data