71 citations · 148 across the 11 of their papers we have counts for
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stat.ML2017★ 9 cited
RNN-based counterfactual prediction, with an application to homestead policy and public schooling
Jason Poulos, Shuxi Zeng
This paper proposes a method for estimating the effect of a policy intervention on an outcome over time. We train recurrent neural networks (RNNs) on the history of control unit ou…
stat.ML2016★ 71 cited
Missing Data Imputation for Supervised Learning
Jason Poulos, Rafael Valle
Missing data imputation can help improve the performance of prediction models in situations where missing data hide useful information. This paper compares methods for imputing mis…