P. Richard Hahn

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Top Venues

J. Comput. Graph. Stat.

ACM Comput. Surv.

Publications

Meijia Wang, Jingyu He, P. Richard Hahn
Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference. J. Comput. Graph. Stat. 33 (2) (2024)
Demetrios Papakostas, Andrew Herren, P. Richard Hahn, Francisco Castillo
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation. CoRR (2024)
Nikolay Krantsevich, Jingyu He, P. Richard Hahn
Stochastic Tree Ensembles for Estimating Heterogeneous Effects. AISTATS (2023)
Nikolay Krantsevich, Jingyu He, P. Richard Hahn
Stochastic Tree Ensembles for Estimating Heterogeneous Effects. CoRR (2022)
Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan K. Turaga, Julie Liss
Digital medicine and the curse of dimensionality. npj Digit. Medicine 4 (2021)
Jingyu He, P. Richard Hahn
Stochastic tree ensembles for regularized nonlinear regression. CoRR (2020)
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
A Survey of Learning Causality with Data: Problems and Methods. ACM Comput. Surv. 53 (4) (2020)
Jingyu He, Saar Yalov, P. Richard Hahn
XBART: Accelerated Bayesian Additive Regression Trees. AISTATS (2019)
Jingyu He, Saar Yalov, P. Richard Hahn
Accelerated Bayesian Additive Regression Trees. CoRR (2018)
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
A Survey of Learning Causality with Data: Problems and Methods. CoRR (2018)