A unified survey of treatment effect heterogeneity modeling and uplift
modeling

A unified survey of treatment effect heterogeneity modeling and uplift modeling

14 July 2020

Papers citing "A unified survey of treatment effect heterogeneity modeling and uplift modeling"

10 / 10 papers shown

Title
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 39 0 0 10 Jan 2025
Distilling interpretable causal trees from causal forests Patrick Rehill CML 33 0 0 02 Aug 2024
M $^3$ TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling Zexu Sun Xu Chen 27 3 0 24 Jan 2024
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling Fanglan Zheng Menghan Wang Kun Li Jiang Tian Xiaojia Xiang CML 24 0 0 03 Feb 2023
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment Théo Verhelst Denis Mercier Jeevan Shrestha Gianluca Bontempi CML 11 2 0 14 Nov 2022
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes H. Shteingart Gerben Oostra Ohad Levinkron Naama Parush G. Shabat Daniel Aronovich 21 0 0 21 Jun 2022
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization Min Cheng Xinru Liao Quanlian Liu Bin Ma Jian Xu Bo Zheng CML 21 24 0 02 Jun 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace Shu Wan Chen Zheng Zhonggen Sun Mengfan Xu Xiaoqing Yang Hong-Tu Zhu Jiecheng Guo 31 7 0 21 Mar 2022
Generalized Causal Tree for Uplift Modeling Preetam Nandy Xiufan Yu Wanjun Liu Ye Tu Kinjal Basu S. Chatterjee CML 29 3 0 04 Feb 2022
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016