Accelerated Bayesian Additive Regression Trees. - Jingyu He; Saar Yalov; P. Richard Hahn (CoRR, 2018)

XBART: Accelerated Bayesian Additive Regression Trees. - Jingyu He; Saar Yalov; P. Richard Hahn (AISTATS, 2019)

Stochastic tree ensembles for regularized nonlinear regression. - Jingyu He; P. Richard Hahn (CoRR, 2020)

A Survey of Learning Causality with Data: Problems and Methods. - Ruocheng Guo; Lu Cheng 001; Jundong Li; P. Richard Hahn; Huan Liu 001 (ACM Comput. Surv., 2021)

Digital medicine and the curse of dimensionality. - Visar Berisha; Chelsea Krantsevich; P. Richard Hahn; Shira Hahn; Gautam Dasarathy; Pavan K. Turaga; Julie Liss (npj Digit. Medicine, 2021)

Stochastic Tree Ensembles for Estimating Heterogeneous Effects. - Nikolay Krantsevich; Jingyu He; P. Richard Hahn (AISTATS, 2023)

Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation. - Demetrios Papakostas; Andrew Herren; P. Richard Hahn; Francisco Castillo (CoRR, 2024)

Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference. - Meijia Wang; Jingyu He; P. Richard Hahn (J. Comput. Graph. Stat., 2024)