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P. Richard Hahn
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2020 – today
- 2024
- [j3]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): 724-735 (2024) - [i5]Demetrios Papakostas, Andrew Herren, P. Richard Hahn, Francisco Castillo:
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation. CoRR abs/2405.03130 (2024) - 2023
- [c2]Nikolay Krantsevich, Jingyu He, P. Richard Hahn:
Stochastic Tree Ensembles for Estimating Heterogeneous Effects. AISTATS 2023: 6120-6131 - 2022
- [i4]Nikolay Krantsevich, Jingyu He, P. Richard Hahn:
Stochastic Tree Ensembles for Estimating Heterogeneous Effects. CoRR abs/2209.06998 (2022) - 2021
- [j2]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): 75:1-75:37 (2021) - [j1]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) - 2020
- [i3]Jingyu He, P. Richard Hahn:
Stochastic tree ensembles for regularized nonlinear regression. CoRR abs/2002.03375 (2020)
2010 – 2019
- 2019
- [c1]Jingyu He, Saar Yalov, P. Richard Hahn:
XBART: Accelerated Bayesian Additive Regression Trees. AISTATS 2019: 1130-1138 - 2018
- [i2]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. CoRR abs/1809.09337 (2018) - [i1]Jingyu He, Saar Yalov, P. Richard Hahn:
Accelerated Bayesian Additive Regression Trees. CoRR abs/1810.02215 (2018)
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last updated on 2024-07-20 20:28 CEST by the dblp team
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