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Recursive Partitioning for Heterogeneous Causal Effects

5 April 2015

Papers citing "Recursive Partitioning for Heterogeneous Causal Effects"

50 / 188 papers shown

Title
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects Zhongyuan Liang L. Laan Ahmed Alaa 16 0 0 16 Jun 2025
Honesty in Causal Forests: When It Helps and When It Hurts Yanfang Hou Carlos Fernández-Loría 17 0 0 16 Jun 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization Undral Byambadalai Tomu Hirata Tatsushi Oka Shota Yasui 34 0 0 06 Jun 2025
Do-PFN: In-Context Learning for Causal Effect Estimation Jake Robertson Arik Reuter Siyuan Guo Noah Hollmann Frank Hutter Bernhard Schölkopf CML 53 0 0 06 Jun 2025
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model Xingyu Li Qing Liu Tony Jiang Hong Amy Xia Brian P. Hobbs Peng Wei 45 0 0 23 May 2025
Causal Predictive Optimization and Generation for Business AI Liyang Zhao Olurotimi Seton Himadeep Reddy Reddivari Suvendu Jena Shadow Zhao Rachit Kumar Changshuai Wei CML 121 0 0 14 May 2025
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction Maximilian Schuessler Erik Sverdrup Robert Tibshirani CML 88 0 0 01 May 2025
Modifying Final Splits of Classification Tree for Fine-tuning Subpopulation Target in Policy Making Lei Bill Wang Zhenbang Jiao Fangyi Wang 97 0 0 24 Feb 2025
FairUDT: Fairness-aware Uplift Decision Trees Anam Zahid Abdur Rehman Ali Shaina Raza Rai Shahnawaz F. Kamiran Asim Karim 126 0 0 03 Feb 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates Baozhen Wang Xingye Qiao 201 2 0 28 Jan 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 113 0 0 10 Jan 2025
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 171 3 0 03 Jan 2025
When Is Heterogeneity Actionable for Personalization? Anya Shchetkina Ron Berman 100 0 0 25 Nov 2024
Optimizing Treatment Allocation in the Presence of Interference Daan Caljon Jente Van Belle Jeroen Berrevoets Wouter Verbeke 118 0 0 30 Sep 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 176 3 0 15 Sep 2024
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 162 0 0 06 Aug 2024
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect Jiehui Zhou Linxiao Yang Xingyu Liu Xinyue Gu Lin Sun Wei Chen CML 75 0 0 01 Jul 2024
Causal Responder Detection Tzviel Frostig Oshri Machluf Amitay Kamber Elad Berkman Raviv Pryluk CML 43 1 0 25 Jun 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 225 0 0 25 Jun 2024
C-Learner: Constrained Learning for Causal Inference T. Cai Yuri Fonseca Kaiwen Hou Hongseok Namkoong CML 79 1 0 15 May 2024
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference Debo Cheng Yang Xie Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Yinghao Zhang Zaiwen Feng CML BDL 60 1 0 08 Dec 2023
CATE Estimation With Potential Outcome Imputation From Local Regression Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 45 2 0 07 Nov 2023
Targeting relative risk heterogeneity with causal forests Vik Shirvaikar Andrea Storås Xi Lin Chris Holmes CML 46 1 0 26 Sep 2023
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making Patrick Rehill Nicholas Biddle SyDa CML 76 2 0 02 Sep 2023
A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing Yuan. Yuan Kristen M. Altenburger 74 5 0 18 Aug 2023
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects Aaron Fisher CML 53 1 0 19 Jul 2023
Three-way Cross-Fitting and Pseudo-Outcome Regression for Estimation of Conditional Effects and other Linear Functionals Aaron Fisher Virginia Fisher 48 3 0 12 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 89 7 0 06 Jun 2023
Optimal Weighted Random Forests Xinyu Chen Dalei Yu Xinyu Zhang 43 5 0 17 May 2023
Linking a predictive model to causal effect estimation Jiuyong Li Lin Liu Ziqi Xu Ha Xuan Tran T. Le Jixue Liu CML 63 0 0 10 Apr 2023
Approaching an unknown communication system by latent space exploration and causal inference Gašper Beguš Andrej Leban Shane Gero 45 4 0 20 Mar 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 90 12 0 27 Feb 2023
Data-Driven Estimation of Heterogeneous Treatment Effects Christopher Tran Keith Burghardt Kristina Lerman Elena Zheleva CML 56 1 0 16 Jan 2023
Doubly Robust Counterfactual Classification K. Kim Edward H. Kennedy J. Zubizarreta OffRL 62 5 0 15 Jan 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap Ganesh Karapakula 61 0 0 13 Jan 2023
Heterogeneous Synthetic Learner for Panel Data Ye Shen Runzhe Wan Hengrui Cai Rui Song 96 1 0 30 Dec 2022
Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation Patrick Rehill Nicholas Biddle 50 0 0 13 Dec 2022
On regression-adjusted imputation estimators of the average treatment effect Zhexiao Lin Fang Han 45 6 0 11 Dec 2022
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 60 8 0 07 Dec 2022
Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals Peniel Argaw E. Healey I. Kohane CML 58 4 0 02 Dec 2022
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect Stanislav R. Kirpichenko Lev V. Utkin A. Konstantinov CML 98 0 0 19 Nov 2022
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Daixin Wang Longfei Li Jun Zhou CML 55 1 0 01 Nov 2022
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 70 22 0 08 Oct 2022
Improving uplift model evaluation on RCT data B. Bokelmann Stefan Lessmann 58 0 0 05 Oct 2022
Tree-based Subgroup Discovery In Electronic Health Records: Heterogeneity of Treatment Effects for DTG-containing Therapies Jiabei Yang Anne Mwangi R. Kantor Issa J. Dahabreh M. Nyambura A. Delong J. Hogan Jon Steingrimsson CML 41 2 0 30 Aug 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 32 0 20 Aug 2022
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings E. Barzegary Hema Yoganarasimhan 123 0 0 02 Aug 2022
Constrained Prescriptive Trees via Column Generation Shivaram Subramanian Wei-Ju Sun Youssef Drissi M. Ettl 79 9 0 20 Jul 2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression A. Konstantinov Stanislav R. Kirpichenko Lev V. Utkin CML 54 4 0 19 Jul 2022