ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1510.04342
  4. Cited By
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
DAG-aware Transformer for Causal Effect Estimation
DAG-aware Transformer for Causal Effect Estimation
Manqing Liu
David R. Bellamy
Andrew L. Beam
CML
253
5
0
13 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential
  outcomes
DiffPO: A causal diffusion model for learning distributions of potential outcomesNeural Information Processing Systems (NeurIPS), 2024
Yuchen Ma
Valentyn Melnychuk
Jonas Schweisthal
Stefan Feuerriegel
DiffM
383
15
0
11 Oct 2024
Causal machine learning for predicting treatment outcomes
Causal machine learning for predicting treatment outcomesNature Network Boston (NNB), 2024
Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
Konstantin Hess
Alicia Curth
Stefan Bauer
Niki Kilbertus
Isaac S. Kohane
Mihaela van der Schaar
CML
344
230
0
11 Oct 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling
  Text-Based Confounding
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
Stefan Heytens
Paloma Rabaey
Thomas Demeester
CML
400
1
0
23 Sep 2024
Causal Inference with Double/Debiased Machine Learning for Evaluating
  the Health Effects of Multiple Mismeasured Pollutants
Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants
Gang Xu
Xin Zhou
Molin Wang
Boya Zhang
Wenhao Jiang
Francine Laden
Helen H. Suh
Adam A. Szpiro
Donna Spiegelman
Zuoheng Wang
174
1
0
22 Sep 2024
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
Zhenyu Zhao
Yexi Jiang
CML
140
1
0
20 Sep 2024
Estimating Wage Disparities Using Foundation Models
Estimating Wage Disparities Using Foundation ModelsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2024
Keyon Vafa
Susan Athey
David M. Blei
412
6
0
15 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient
  Representation Learning
Estimating Conditional Average Treatment Effects via Sufficient Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Pengfei Shi
Wei Zhong
Xinyu Zhang
Ningtao Wang
Xing Fu
Weiqiang Wang
Yin Jin
CMLBDL
114
1
0
30 Aug 2024
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect
  Estimation
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect EstimationIEEE International Conference on Information Reuse and Integration (IRI), 2024
Chan Hsu
Jun-Ting Wu
Yihuang Kang
CML
105
1
0
27 Aug 2024
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
Yuxiang Wei
Zhaoxin Qiu
Yingjie Li
Yuke Sun
Xiaoling Li
OffRL
285
1
0
23 Aug 2024
Simplifying Random Forests' Probabilistic Forecasts
Simplifying Random Forests' Probabilistic ForecastsAmerican Statistician (Am. Stat.), 2024
Nils Koster
Fabian Kruger
UQCV
279
3
0
22 Aug 2024
A Bayesian Classification Trees Approach to Treatment Effect Variation
  with Noncompliance
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
Jared D. Fisher
David Puelz
Sameer K. Deshpande
CML
179
1
0
14 Aug 2024
Identifying treatment response subgroups in observational time-to-event data
Identifying treatment response subgroups in observational time-to-event data
Vincent Jeanselme
Chang Ho Yoon
Fabian Falck
Brian D. M. Tom
Jessica Barrett
OODCML
509
0
0
06 Aug 2024
Distilling interpretable causal trees from causal forests
Distilling interpretable causal trees from causal forests
Patrick Rehill
CML
209
1
0
02 Aug 2024
Identification and Inference with Invalid Instruments
Identification and Inference with Invalid InstrumentsAnnual Review of Statistics and Its Application (ARSIA), 2024
Hyunseung Kang
Zijian Guo
Zhonghua Liu
Dylan S. Small
CML
190
8
0
28 Jul 2024
Estimating Distributional Treatment Effects in Randomized Experiments:
  Machine Learning for Variance Reduction
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai
Tatsushi Oka
Shota Yasui
CML
186
6
0
22 Jul 2024
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
Zhe Fei
Yi Li
AI4CE
248
0
0
22 Jul 2024
Regression Adjustment for Estimating Distributional Treatment Effects in
  Randomized Controlled Trials
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
Tatsushi Oka
Shota Yasui
Yuta Hayakawa
Undral Byambadalai
137
6
0
19 Jul 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing
  Optimization
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
Hao Zhou
Rongxiao Huang
Shaoming Li
Guibin Jiang
Jiaqi Zheng
Bing Cheng
Wei Lin
237
7
0
18 Jul 2024
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of
  Part-Time Work on Growth in High School Mathematics Achievement
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
Nathan McJames
Ann O'Shea
Andrew C. Parnell
157
2
0
16 Jul 2024
Meta-Analysis with Untrusted Data
Meta-Analysis with Untrusted Data
Shiva Kaul
Geoffrey J. Gordon
CML
219
2
0
12 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
437
13
0
07 Jul 2024
Robust CATE Estimation Using Novel Ensemble Methods
Robust CATE Estimation Using Novel Ensemble Methods
Oshri Machluf
Tzviel Frostig
Gal Shoham
T. Milo
Elad Berkman
Raviv Pryluk
CML
317
0
0
04 Jul 2024
Stable Heterogeneous Treatment Effect Estimation across
  Out-of-Distribution Populations
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
Yuling Zhang
Anpeng Wu
Kun Kuang
Liang Du
Zixun Sun
Zhi Wang
OODD
278
2
0
03 Jul 2024
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Garud Iyengar
Henry Lam
Jiashuo Liu
304
1
0
03 Jul 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
370
0
0
02 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment
  Effect Estimation
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Yuan Shen
Jiajun Fan
Zhaoran Liu
Degui Yang
Xinggao Liu
Haoxuan Li
189
1
0
01 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction
Improve ROI with Causal Learning and Conformal Prediction
Meng Ai
Zhuo Chen
Jibin Wang
Jing Shang
Tao Tao
Zhen Li
271
2
0
01 Jul 2024
CURLS: Causal Rule Learning for Subgroups with Significant Treatment
  Effect
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou
Linxiao Yang
Xingyu Liu
Xinyue Gu
Lin Sun
Wei Chen
CML
163
1
0
01 Jul 2024
Causal Responder Detection
Causal Responder Detection
Tzviel Frostig
Oshri Machluf
Amitay Kamber
Elad Berkman
Raviv Pryluk
CML
168
1
0
25 Jun 2024
Compositional Models for Estimating Causal Effects
Compositional Models for Estimating Causal Effects
Purva Pruthi
David D. Jensen
CML
446
0
0
25 Jun 2024
Sources of Gain: Decomposing Performance in Conditional Average Dose
  Response Estimation
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation
Christopher Bockel-Rickermann
Toon Vanderschueren
Tim Verdonck
Wouter Verbeke
CML
267
2
0
12 Jun 2024
Structured Difference-of-Q via Orthogonal Learning
Structured Difference-of-Q via Orthogonal Learning
Defu Cao
Angela Zhou
412
0
0
12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments
  and Observational Data
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu
Nathan Kallus
CML
236
1
0
10 Jun 2024
Heterogeneous Treatment Effects in Panel Data
Heterogeneous Treatment Effects in Panel Data
R. Levi
Elisabeth Paulson
Georgia Perakis
Emily Zhang
CML
168
0
0
09 Jun 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment
  Effect
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
CMLOOD
289
2
0
06 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple
  Environments
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal
Dennis Frauen
M. Schaar
Stefan Feuerriegel
CML
289
8
0
04 Jun 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect
  Estimation
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
Yinjun Wu
Mayank Keoliya
Kan Chen
Neelay Velingker
Ziyang Li
E. Getzen
Qi Long
Mayur Naik
Ravi B. Parikh
Eric Wong
284
3
0
02 Jun 2024
Benchmarking for Deep Uplift Modeling in Online Marketing
Benchmarking for Deep Uplift Modeling in Online Marketing
Dugang Liu
Xing Tang
Yang Qiao
Miao Liu
Zexu Sun
Xiuqiang He
Zhong Ming
276
2
0
01 Jun 2024
IncomeSCM: From tabular data set to time-series simulator and causal
  estimation benchmark
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
Fredrik D. Johansson
CML
268
0
0
25 May 2024
Conformal Counterfactual Inference under Hidden Confounding
Conformal Counterfactual Inference under Hidden Confounding
Zonghao Chen
Ruocheng Guo
Jean-François Ton
Yang Liu
CMLOffRL
461
6
0
20 May 2024
Generalization Bounds for Causal Regression: Insights, Guarantees and
  Sensitivity Analysis
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisInternational Conference on Machine Learning (ICML), 2024
Daniel Csillag
C. Struchiner
G. Goedert
OODCML
234
3
0
15 May 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards
Policy Learning for Balancing Short-Term and Long-Term RewardsInternational Conference on Machine Learning (ICML), 2024
Peng Wu
Ziyu Shen
Feng Xie
Zhongyao Wang
Chunchen Liu
Yan Zeng
249
13
0
06 May 2024
Deep Learning for Causal Inference: A Comparison of Architectures for
  Heterogeneous Treatment Effect Estimation
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
Demetrios Papakostas
Andrew Herren
P. R. Hahn
Francisco Castillo
CMLBDL
134
0
0
06 May 2024
Neyman Meets Causal Machine Learning: Experimental Evaluation of
  Individualized Treatment Rules
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
Michael Lingzhi Li
Kosuke Imai
CML
206
1
0
25 Apr 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Tianyu Guo
Sai Praneeth Karimireddy
Michael I. Jordan
FedML
270
4
0
24 Apr 2024
Even naive trees are consistent
Even naive trees are consistent
Nico Foge
Markus Pauly
Lena Schmid
Marc Ditzhaus
391
0
0
10 Apr 2024
Covariance Regression with High-Dimensional Predictors
Covariance Regression with High-Dimensional Predictors
Yuheng He
Changliang Zou
Yi Zhao
219
0
0
10 Apr 2024
When does Subagging Work?
When does Subagging Work?
Christos Revelas
O. Boldea
B. Werker
206
1
0
02 Apr 2024
C-XGBoost: A tree boosting model for causal effect estimation
C-XGBoost: A tree boosting model for causal effect estimation
Niki Kiriakidou
I. Livieris
Christos Diou
CML
166
3
0
31 Mar 2024
Previous
123456...131415
Next
Page 3 of 15
Pageof 15