223 citations · 335 across the 19 of their papers we have counts for
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stat.ME2020
Semi-supervised learning and the question of true versus estimated propensity scores
Andrew Herren, P. Richard Hahn
A straightforward application of semi-supervised machine learning to the problem of treatment effect estimation would be to consider data as "unlabeled" if treatment assignment and…
stat.ML2020★ 12 cited
Stochastic tree ensembles for regularized nonlinear regression
Jingyu He, P. Richard Hahn
This paper develops a novel stochastic tree ensemble method for nonlinear regression, which we refer to as XBART, short for Accelerated Bayesian Additive Regression Trees. By combi…