A unified survey of treatment effect heterogeneity modeling and uplift
modeling

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A unified survey of treatment effect heterogeneity modeling and uplift modeling

14 July 2020

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

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Title
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 113 0 0 10 Jan 2025
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity Heyang Gong 36 0 0 17 Sep 2023
KDSM: An uplift modeling framework based on knowledge distillation and sample matching Chang Sun Qianying Li Guanxiang Wang S. Xu Yitong Liu 45 0 0 06 Mar 2023
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect Stanislav R. Kirpichenko Lev V. Utkin A. Konstantinov CML 93 0 0 19 Nov 2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression A. Konstantinov Stanislav R. Kirpichenko Lev V. Utkin CML 54 4 0 19 Jul 2022
Intelligent Request Strategy Design in Recommender System Xufeng Qian Yue Xu Fuyu Lv Shengyu Zhang Ziwen Jiang Qingwen Liu Xiaoyi Zeng Tat-Seng Chua Leilei Gan 95 17 0 23 Jun 2022
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes H. Shteingart Gerben Oostra Ohad Levinkron Naama Parush G. Shabat Daniel Aronovich 60 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 69 25 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 52 7 0 21 Mar 2022
Generalized Causal Tree for Uplift Modeling Preetam Nandy Xiufan Yu Wanjun Liu Ye Tu Kinjal Basu S. Chatterjee CML 61 4 0 04 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance Gabriel Okasa CML 51 6 0 30 Jan 2022
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 261 288 0 09 Jul 2017