Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

14 October 2015

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

50 / 273 papers shown

Title
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Mihaela van der Schaar Stefan Feuerriegel CML 29 0 0 19 May 2025
High-Dimensional Dynamic Covariance Models with Random Forests Shuguang Yu Fan Zhou Yingjie Zhang Ziqi Chen Hongtu Zhu 19 0 0 18 May 2025
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data Rui Miao Babak Shahbaba Annie Qu OffRL 51 0 0 14 May 2025
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 52 0 0 11 May 2025
CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma Everest Yang Ria Vasishtha Luqman K. Dad Lisa A. Kachnic Andrew Hope Eric Wang Xiao Wu Yading Yuan David J. Brenner Igor Shuryak CML 31 0 0 09 May 2025
Moments of Causal Effects Yuta Kawakami Jin Tian CML 56 0 0 08 May 2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 67 0 0 04 May 2025
Pre-Training Estimators for Structural Models: Application to Consumer Search Yanhao 'Max' Wei Zhenling Jiang 41 0 0 01 May 2025
The Estimation of Continual Causal Effect for Dataset Shifting Streams Baining Chen Yiming Zhang Yuqiao Han Ruyue Zhang Ruihuan Du Zhishuo Zhou Zhengdan Zhu Xun Liu Jiecheng Guo 283 0 0 29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Kai Zhang 45 0 0 26 Apr 2025
Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels Georgios Mavroudeas M. Magdon-Ismail Kristin P. Bennett Jason Kuruzovich 39 0 0 22 Apr 2025
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks Xuran Meng Yi Li BDL 40 0 0 12 Apr 2025
Treatment response as a latent variable Christopher Tosh Boyuan Zhang Wesley Tansey CML 73 0 0 12 Feb 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 58 0 0 10 Feb 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates Baozhen Wang Xingye Qiao 66 1 0 28 Jan 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 44 0 0 10 Jan 2025
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 67 2 0 03 Jan 2025
Segment Discovery: Enhancing E-commerce Targeting Qiqi Li Roopali Singh Charin Polpanumas Tanner Fiez Namita Kumar Shreya Chakrabarti 56 1 0 31 Dec 2024
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li Feng Xie Xichen Guo Yan Zeng Hao Zhang Zhi Geng CML 94 0 0 25 Nov 2024
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources Vibhhu Sharma Bryan Wilder 41 1 0 11 Nov 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 91 1 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 52 0 0 06 Aug 2024
Distilling interpretable causal trees from causal forests Patrick Rehill CML 38 0 0 02 Aug 2024
Meta-Analysis with Untrusted Data Shiva Kaul Geoffrey J. Gordon CML 39 1 0 12 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 57 7 0 07 Jul 2024
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect Jiehui Zhou Linxiao Yang Xingyu Liu Xinyue Gu Lin Sun Wei Chen CML 52 0 0 01 Jul 2024
Causal Responder Detection Tzviel Frostig Oshri Machluf Amitay Kamber Elad Berkman Raviv Pryluk CML 31 1 0 25 Jun 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 70 0 0 25 Jun 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 67 2 0 20 May 2024
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation Demetrios Papakostas Andrew Herren P. R. Hahn Francisco Castillo CML BDL 42 0 0 06 May 2024
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules Michael Lingzhi Li Kosuke Imai CML 44 0 0 25 Apr 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis Tianyu Guo Sai Praneeth Karimireddy Michael I. Jordan FedML 49 2 0 24 Apr 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 51 1 0 31 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 48 1 0 05 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 55 2 0 01 Mar 2024
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 58 2 0 27 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 69 1 0 22 Feb 2024
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects Jef Jonkers Jarne Verhaeghe Glenn Van Wallendael Luc Duchateau Sofie Van Hoecke 39 2 0 07 Feb 2024
M $^3$ TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling Zexu Sun Xu Chen 40 3 0 24 Jan 2024
Maximizing the Success Probability of Policy Allocations in Online Systems Artem Betlei Mariia Vladimirova Mehdi Sebbar Nicolas Urien Thibaud Rahier Benjamin Heymann OffRL 24 1 0 26 Dec 2023
The impact of heteroskedasticity on uplift modeling B. Bokelmann Stefan Lessmann 31 0 0 08 Dec 2023
Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk Colleen E Chan Kisung You Sunny Chung Mauro Giuffré Theo Saarinen ... Loren Laine Ambrose H. Wong Rene F. Kizilcec Jasjeet Sekhon Dennis L. Shung LM&MA AI4MH 25 4 0 06 Dec 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 38 10 0 27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 37 9 0 19 Nov 2023
Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash Yixin Tang Yicong Lin Navdeep S. Sahni 11 0 0 10 Nov 2023
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests Rahul Ladhania Jann Spiess Lyle Ungar Wenbo Wu CML 30 1 0 01 Nov 2023
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 55 4 0 25 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 76 2 0 16 Oct 2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II Mathias Kraus Stefan Feuerriegel M. Saar-Tsechansky 33 11 0 14 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 38 12 0 09 Aug 2023