4 citations · 8 across the 4 of their papers we have counts for
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cs.LG2020★ 2 cited
Balance Regularized Neural Network Models for Causal Effect Estimation
Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng +4
Estimating individual and average treatment effects from observational data is an important problem in many domains such as healthcare and e-commerce. In this paper, we advocate ba…
stat.ML2020★ 4 cited
Amortized learning of neural causal representations
Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic +2
Causal models can compactly and efficiently encode the data-generating process under all interventions and hence may generalize better under changes in distribution. These models a…