Web: http://arxiv.org/abs/2201.08559

Jan. 24, 2022, 2:10 a.m. | Naveen Nair, Karthik S. Gurumoorthy, Dinesh Mandalapu

cs.LG updates on arXiv.org arxiv.org

We develop a Causal-Deep Neural Network (CDNN) model trained in two stages to
infer causal impact estimates at an individual unit level. Using only the
pre-treatment features in stage 1 in the absence of any treatment information,
we learn an encoding for the covariates that best represents the outcome. In
the $2^{nd}$ stage we further seek to predict the unexplained outcome from
stage 1, by introducing the treatment indicator variables alongside the encoded
covariates. We prove that even without explicitly …

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