Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

12 June 2017

Papers citing "Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning"

50 / 139 papers shown

Title
Forests for Differences: Robust Causal Inference Beyond Parametric DiD Hugo Gobato Souto Francisco Louzada Neto 11 0 0 14 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 33 0 0 14 May 2025
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data Rui Miao Babak Shahbaba Annie Qu OffRL 31 0 0 14 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
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence Winston Chen Trenton Chang Jenna Wiens CML 43 0 0 08 May 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning Ruichu Cai Junjie Wan Weilin Chen Zeqin Yang Zijian Li Peng Zhen Jiecheng Guo CML 61 1 0 08 May 2025
Moments of Causal Effects Yuta Kawakami Jin Tian CML 51 0 0 08 May 2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 61 0 0 04 May 2025
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling David Svensson Erik Hermansson N. Nikolaou Konstantinos Sechidis Ilya Lipkovich CML 61 0 0 02 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 173 0 0 29 Apr 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 68 0 0 29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Kaipeng Zhang 31 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 31 0 0 22 Apr 2025
Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees Rafael Alcantara P. R. Hahn Carlos Carvalho H. Lopes CML 38 1 0 01 Mar 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination Weilin Chen Ruichu Cai Junjie Wan Zeqin Yang José Miguel Hernández-Lobato 61 1 0 26 Feb 2025
Long-term Causal Inference via Modeling Sequential Latent Confounding Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao José Miguel Hernández-Lobato CML 84 1 0 26 Feb 2025
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David A. Clifton CML 63 0 0 12 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 81 0 0 07 Feb 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates Baozhen Wang Xingye Qiao 61 1 0 28 Jan 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 39 0 0 10 Jan 2025
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning Tao Liu Qi Xu Wei Shi Zhigang Hua Shuang Yang OffRL 43 0 0 09 Jan 2025
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 60 2 0 03 Jan 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 25 0 0 31 Dec 2024
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 103 0 0 02 Dec 2024
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources Vibhhu Sharma Bryan Wilder 21 0 0 11 Nov 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 56 3 0 05 Nov 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 133 3 0 09 Oct 2024
Distilling interpretable causal trees from causal forests Patrick Rehill CML 33 0 0 02 Aug 2024
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning Bobby Chen Siyu Chen Jason Dowlatabadi Yu Xuan Hong Vinayak Iyer ... Kaichen Wei Chen Xu Jingnan Yang Allen T. Zhang Guoqing Zhang OffRL 39 0 0 26 Jul 2024
Meta-Analysis with Untrusted Data Shiva Kaul Geoffrey J. Gordon CML 32 1 0 12 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 37 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 47 0 0 01 Jul 2024
Causal Responder Detection Tzviel Frostig Oshri Machluf Amitay Kamber Elad Berkman Raviv Pryluk CML 26 1 0 25 Jun 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 67 0 0 25 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 32 0 0 04 Jun 2024
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy Kaihua Ding Jingsong Cui Mohammad Soltani Jing Jin CML OOD 21 0 0 23 May 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 53 2 0 20 May 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 35 1 0 31 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 39 1 0 05 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 40 2 0 01 Mar 2024
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 43 2 0 27 Feb 2024
Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization Rochana Chaturvedi Sugat Chaturvedi Elena Zheleva 41 2 0 19 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 31 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 32 3 0 24 Jan 2024
A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling Théo Verhelst Denis Mercier Jeevan Shrestha Gianluca Bontempi 21 1 0 12 Dec 2023
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Wentao Gao T. Le CML 38 6 0 12 Dec 2023
The impact of heteroskedasticity on uplift modeling B. Bokelmann Stefan Lessmann 23 0 0 08 Dec 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 32 9 0 19 Nov 2023
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 42 4 0 25 Oct 2023