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Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
v1v2v3v4 (latest)

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

14 October 2015
Stefan Wager
Susan Athey
    SyDaCML
ArXiv (abs)PDFHTML

Papers citing "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests"

50 / 726 papers shown
Learning Treatment Policies From Multimodal Electronic Health Records
Learning Treatment Policies From Multimodal Electronic Health Records
Henri Arno
Thomas Demeester
CML
198
0
0
24 Dec 2025
Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests
Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests
Tomoshige Nakamura
Hiroshi Shiraishi
116
0
0
28 Nov 2025
Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT
Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT
Y. Liu
Hao Li
Haiyu Xu
Baoqi Pei
Jiahao Wang
...
Zheqi He
JG Yao
Bowen Qin
Xi Yang
J. Zhang
OffRL
344
0
0
21 Nov 2025
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
Haorui Ma
Dennis Frauen
Stefan Feuerriegel
BDL
210
0
0
18 Nov 2025
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
Sairam S
Sara Girdhar
Shivam Soni
CML
238
0
0
17 Nov 2025
Empirical Likelihood for Random Forests and Ensembles
Empirical Likelihood for Random Forests and Ensembles
Harold D. Chiang
Yukitoshi Matsushita
Taisuke Otsu
76
0
0
17 Nov 2025
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression
Masahiro Kato
CML
255
0
0
11 Nov 2025
Two Heads are Better than One: Distilling Large Language Model Features Into Small Models with Feature Decomposition and Mixture
Two Heads are Better than One: Distilling Large Language Model Features Into Small Models with Feature Decomposition and Mixture
Tianhao Fu
Xinxin Xu
Weichen Xu
Jue Chen
Ruilong Ren
Bowen Deng
Xinyu Zhao
Jian Cao
Xixin Cao
97
2
0
10 Nov 2025
Counterfactual Forecasting of Human Behavior using Generative AI and Causal Graphs
Counterfactual Forecasting of Human Behavior using Generative AI and Causal GraphsInternational Journal of Intelligent Systems and Applications in Engineering (IJISAE), 2025
Dharmateja Priyadarshi Uddandarao
Ravi Kiran Vadlamani
AI4TS
58
0
0
09 Nov 2025
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
Xiaopeng Ke
Yihan Yu
Ruyue Zhang
Zhishuo Zhou
Fangzhou Shi
Chang Men
Zhengdan Zhu
CML
84
0
0
03 Nov 2025
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling
Ruyue Zhang
Xiaopeng Ke
Ming Liu
Fangzhou Shi
Chang Men
Zhengdan Zhu
109
0
0
03 Nov 2025
Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study
Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study
Gerard T. Portela
Jason B. Gibbons
Sebastian Schneeweiss
R. J. Desai
CML
145
0
0
30 Oct 2025
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
91
0
0
28 Oct 2025
Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI Agents
Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI Agents
Gokturk Aytug Akarlar
AI4CE
88
0
0
27 Oct 2025
Scalable Oversight via Partitioned Human Supervision
Scalable Oversight via Partitioned Human Supervision
Ren Yin
Takashi Ishida
Masashi Sugiyama
160
0
0
26 Oct 2025
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Shuli Zhang
Hao Zhou
Jiaqi Zheng
Guibin Jiang
Bing Cheng
Wei Lin
Guihai Chen
OffRL
119
0
0
22 Oct 2025
A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
Jiayi Guo
Haoxuan Li
Ye Tian
Peng Wu
124
1
0
18 Oct 2025
Doubly Robust Estimation of Causal Effects in Strategic Equilibrium Systems
Doubly Robust Estimation of Causal Effects in Strategic Equilibrium Systems
Sibo Xiao
108
0
0
17 Oct 2025
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Jonas Schweisthal
Stefan Feuerriegel
CML
134
0
0
29 Sep 2025
Train Once, Answer All: Many Pretraining Experiments for the Cost of One
Train Once, Answer All: Many Pretraining Experiments for the Cost of One
Sebastian Bordt
Martin Pawelczyk
CLL
182
1
0
27 Sep 2025
Statistical Inference for Gradient Boosting Regression
Statistical Inference for Gradient Boosting Regression
Haimo Fang
Kevin Tan
Giles Hooker
FedMLUQCV
115
0
0
27 Sep 2025
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks
Alejandro Almodóvar
Patricia A. Apellániz
Santiago Zazo
J. Parras
CML
290
0
0
26 Sep 2025
A Systematic Review of Conformal Inference Procedures for Treatment Effect Estimation: Methods and Challenges
A Systematic Review of Conformal Inference Procedures for Treatment Effect Estimation: Methods and Challenges
Pascal Memmesheimer
Vincent Heuveline
Jürgen Hesser
CML
100
0
0
25 Sep 2025
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
Bayesian Semi-supervised Inference via a Debiased Modeling ApproachEconometrics and Statistics (ES), 2025
Gözde Sert
Abhishek Chakrabortty
Anirban Bhattacharya
103
1
0
22 Sep 2025
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
Kairong Han
Weidong Huang
Taiyang Zhou
Peng Zhen
Kun Kuang
133
0
0
16 Sep 2025
Jackknife Variance Estimation for Hájek-Dominated Generalized U-Statistics
Jackknife Variance Estimation for Hájek-Dominated Generalized U-Statistics
Jakob R. Juergens
45
1
0
15 Sep 2025
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
M. D. Cattaneo
Jason M. Klusowski
Ruiqi Rae Yu
CML
83
0
0
14 Sep 2025
Beyond ATE: Multi-Criteria Design for A/B Testing
Beyond ATE: Multi-Criteria Design for A/B Testing
Jiachun Li
Kaining Shi
David Simchi-Levi
120
0
0
06 Sep 2025
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
Amirmohammad Farzaneh
Matteo Zecchin
Osvaldo Simeone
144
0
0
04 Sep 2025
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Jianqing Fan
Soham Jana
Sanjeev R. Kulkarni
Qishuo Yin
FedMLCML
120
1
0
23 Aug 2025
ADT4Coupons: An Innovative Framework for Sequential Coupon Distribution in E-commerce
ADT4Coupons: An Innovative Framework for Sequential Coupon Distribution in E-commerce
Li Kong
Bingzhe Wang
Zhou Chen
Suhan Hu
Yuchao Ma
Qi Qi
Suoyuan Song
Bicheng Jin
OffRL
102
0
0
08 Aug 2025
Structure Maintained Representation Learning Neural Network for Causal Inference
Structure Maintained Representation Learning Neural Network for Causal Inference
Yang Sun
Wenbin Lu
Yi-Hui Zhou
OODCML
114
0
0
03 Aug 2025
Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring
Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring
Robin Schmucker
Nimish Pachapurkar
Shanmuga Bala
Miral Shah
Tom Mitchell
OffRL
64
1
0
01 Aug 2025
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Linying Yang
Robin J. Evans
Xinwei Shen
OOD
149
0
0
01 Aug 2025
Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
Jonathan R. Landers
158
0
0
31 Jul 2025
Horseshoe Forests for High-Dimensional Causal Survival Analysis
Horseshoe Forests for High-Dimensional Causal Survival Analysis
Tijn Jacobs
Wessel N. van Wieringen
Stéphanie L. van der Pas
CML
213
0
0
29 Jul 2025
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
Byeonghee Lee
Juhyun Park
Ju-Hyun Park
Saebom Jeon
Joonsung Kang
168
1
0
23 Jul 2025
XplainAct: Visualization for Personalized Intervention Insights
XplainAct: Visualization for Personalized Intervention Insights
Yanming Zhang
Krishnakumar Hegde
Klaus Mueller
CML
110
0
0
19 Jul 2025
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
R. Karlsson
Piersilvio De Bartolomeis
Issa J. Dahabreh
Jesse H. Krijthe
CML
139
0
0
04 Jul 2025
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
Yuchen Ma
Dennis Frauen
Jonas Schweisthal
Stefan Feuerriegel
CML
181
2
0
03 Jul 2025
Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
Eric V. Strobl
CML
162
0
0
19 Jun 2025
Honesty in Causal Forests: When It Helps and When It Hurts
Honesty in Causal Forests: When It Helps and When It Hurts
Yanfang Hou
Carlos Fernández-Loría
112
0
0
16 Jun 2025
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
Zhongyuan Liang
L. Laan
Ahmed Alaa
179
0
0
16 Jun 2025
Conditional Average Treatment Effect Estimation Under Hidden ConfoundersConference on Uncertainty in Artificial Intelligence (UAI), 2025
Ahmed Aloui
Juncheng Dong
Ali Hasan
Vahid Tarokh
CML
112
0
0
14 Jun 2025
Foundation Models for Causal Inference via Prior-Data Fitted Networks
Foundation Models for Causal Inference via Prior-Data Fitted Networks
Yuchen Ma
Dennis Frauen
Emil Javurek
Stefan Feuerriegel
CMLAI4CE
443
8
0
12 Jun 2025
Do-PFN: In-Context Learning for Causal Effect Estimation
Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson
Arik Reuter
Siyuan Guo
Noah Hollmann
Katharina Eggensperger
Bernhard Schölkopf
CML
439
8
0
06 Jun 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
Undral Byambadalai
Tomu Hirata
Tatsushi Oka
Shota Yasui
125
4
0
06 Jun 2025
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments
Yuchen Ma
Jonas Schweisthal
Hengrui Zhang
Stefan Feuerriegel
OODCML
159
3
0
02 Jun 2025
Data Heterogeneity Modeling for Trustworthy Machine Learning
Data Heterogeneity Modeling for Trustworthy Machine Learning
Tianyu Wang
Peng Cui
241
1
0
01 Jun 2025
Doubly Robust Alignment for Large Language Models
Doubly Robust Alignment for Large Language Models
Erhan Xu
Kai Ye
Hongyi Zhou
Luhan Zhu
Francesco Quinzan
Chengchun Shi
306
4
0
01 Jun 2025
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