223 citations · 335 across the 19 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2022★ 5 cited
Stochastic Tree Ensembles for Estimating Heterogeneous Effects
Nikolay Krantsevich, Jingyu He, P. Richard Hahn
Determining subgroups that respond especially well (or poorly) to specific interventions (medical or policy) requires new supervised learning methods tailored specifically for caus…
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…
stat.ML2018★ 28 cited
XBART: Accelerated Bayesian Additive Regression Trees
Jingyu He, Saar Yalov, P. Richard Hahn
Bayesian additive regression trees (BART) (Chipman et. al., 2010) is a powerful predictive model that often outperforms alternative models at out-of-sample prediction. BART is espe…