P. Richard Hahn

According to our database, P. Richard Hahn authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2023

Stochastic Tree Ensembles for Estimating Heterogeneous Effects.

Nikolay Krantsevich, Jingyu He, P. Richard Hahn

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

A Survey of Learning Causality with Data: Problems and Methods.

Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu

ACM Comput. Surv., 2021

2020

Stochastic tree ensembles for regularized nonlinear regression.

Jingyu He, P. Richard Hahn

CoRR, 2020

2019

XBART: Accelerated Bayesian Additive Regression Trees.

Jingyu He, Saar Yalov, P. Richard Hahn

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Accelerated Bayesian Additive Regression Trees.

Jingyu He, Saar Yalov, P. Richard Hahn

CoRR, 2018