Web: http://arxiv.org/abs/2111.08656

Sept. 22, 2022, 1:12 a.m. | Daniel Jiwoong Im, Kyunghyun Cho, Narges Razavian

cs.LG updates on arXiv.org arxiv.org

Domain adaptation and covariate shift are big issues in deep learning and
they ultimately affect any causal inference algorithms that rely on deep neural
networks. Causal effect variational autoencoder (CEVAE) is trained to predict
the outcome given observational treatment data and it suffers from the
distribution shift at test time. In this paper, we introduce uniform treatment
variational autoencoders (UTVAE) that are trained with uniform treatment
distribution using importance sampling and show that using uniform treatment
over observational treatment distribution …

arxiv autoencoder treatment uniform

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