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2006.07917
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Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
14 June 2020
Hyun-Suk Lee
Yao Zhang
W. Zame
Cong Shen
Jang-Won Lee
M. Schaar
CML
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Papers citing
"Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification"
9 / 9 papers shown
Title
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
Zhongyuan Liang
L. Laan
Ahmed Alaa
16
0
0
16 Jun 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems
Marcos Negre Saura
Richard Allmendinger
Theodore Papamarkou
Wei Pan
467
0
0
17 Feb 2025
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data
Seungyeon Lee
Ruoqi Liu
Feixiong Cheng
Ping Zhang
58
0
0
31 Dec 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk
Stefan Feuerriegel
Mihaela van der Schaar
CML
272
5
0
05 Nov 2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
Seungyeon Lee
Ruoqi Liu
Wenyu Song
Lang Li
Ping Zhang
CML
63
0
0
22 Jan 2024
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
Ramtin Keramati
Omer Gottesman
Leo Anthony Celi
Finale Doshi-Velez
Emma Brunskill
OffRL
21
6
0
28 Nov 2021
Interpretable Personalized Experimentation
Han Wu
S. Tan
Weiwei Li
Mia Garrard
Adam Obeng
Drew Dimmery
Shaun Singh
Hanson Wang
Daniel R. Jiang
E. Bakshy
65
6
0
05 Nov 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
Junhyung Park
Uri Shalit
Bernhard Schölkopf
Krikamol Muandet
CML
112
33
0
16 Feb 2021
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie
J. Hill
Uri Shalit
M. Scott
D. Cervone
CML
283
288
0
09 Jul 2017
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