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Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation.
Demetrios Papakostas
Andrew Herren
P. Richard Hahn
Francisco Castillo
Published in:
CoRR (2024)
Keyphrases
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deep learning
causal inference
additive noise
unsupervised learning
machine learning
nonmonotonic reasoning
causal models
discrete data
abductive reasoning
weakly supervised
computer vision
decision making
active learning
spatial domain
rare events