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A unified survey of treatment effect heterogeneity modeling and uplift
  modeling
v1v2v3 (latest)

A unified survey of treatment effect heterogeneity modeling and uplift modeling

ACM Computing Surveys (ACM CSUR), 2020
14 July 2020
Weijia Zhang
Jiuyong Li
Lin Liu
    CML
ArXiv (abs)PDFHTML

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

20 / 20 papers shown
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
Kairong Han
Weidong Huang
Taiyang Zhou
Peng Zhen
Kun Kuang
229
0
0
16 Sep 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome
A New Transformation Approach for Uplift Modeling with Binary OutcomeInternational Conference on Music and Artificial Intelligence (ICMAI), 2023
Kun Li
Jiang Tian
302
2
0
10 Jan 2025
End-to-End Cost-Effective Incentive Recommendation under Budget
  Constraint with Uplift Modeling
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift ModelingACM Conference on Recommender Systems (RecSys), 2024
Zexu Sun
Hao Yang
Dugang Liu
Yunpeng Weng
Xing Tang
Xiuqiang He
OffRL
297
10
0
21 Aug 2024
Distilling interpretable causal trees from causal forests
Distilling interpretable causal trees from causal forests
Patrick Rehill
CML
255
1
0
02 Aug 2024
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
Serdar Kadioğlu
Filip Michalsky
157
2
0
12 Feb 2024
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing
  Heterogeneity
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity
Heyang Gong
232
0
0
17 Sep 2023
KDSM: An uplift modeling framework based on knowledge distillation and
  sample matching
KDSM: An uplift modeling framework based on knowledge distillation and sample matching
Chang Sun
Qianying Li
Guanxiang Wang
S. Xu
Yitong Liu
183
0
0
06 Mar 2023
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling
Fanglan Zheng
Menghan Wang
Kun Li
Jiang Tian
Xiaojia Xiang
CML
82
0
0
03 Feb 2023
BENK: The Beran Estimator with Neural Kernels for Estimating the
  Heterogeneous Treatment Effect
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
Stanislav R. Kirpichenko
Lev V. Utkin
A. Konstantinov
CML
339
0
0
19 Nov 2022
Partial counterfactual identification and uplift modeling: theoretical
  results and real-world assessment
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessmentMachine-mediated learning (ML), 2022
Théo Verhelst
Denis Mercier
Jeevan Shrestha
Gianluca Bontempi
CML
187
3
0
14 Nov 2022
Heterogeneous Treatment Effect with Trained Kernels of the
  Nadaraya-Watson Regression
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
A. Konstantinov
Stanislav R. Kirpichenko
Lev V. Utkin
CML
254
6
0
19 Jul 2022
Intelligent Request Strategy Design in Recommender System
Intelligent Request Strategy Design in Recommender SystemKnowledge Discovery and Data Mining (KDD), 2022
Xufeng Qian
Yue Xu
Fuyu Lv
Shengyu Zhang
Ziwen Jiang
Qingwen Liu
Xiaoyi Zeng
Tat-Seng Chua
Leilei Gan
210
22
0
23 Jun 2022
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes
H. Shteingart
Gerben Oostra
Ohad Levinkron
Naama Parush
G. Shabat
Daniel Aronovich
215
0
0
21 Jun 2022
Learning Disentangled Representations for Counterfactual Regression via
  Mutual Information Minimization
Learning Disentangled Representations for Counterfactual Regression via Mutual Information MinimizationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Min Cheng
Xinru Liao
Quanlian Liu
Bin Ma
Jian Xu
Bo Zheng
CML
260
36
0
02 Jun 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect
  Estimation in Online Marketplace
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
229
10
0
21 Mar 2022
Generalized Causal Tree for Uplift Modeling
Generalized Causal Tree for Uplift ModelingBigData Congress [Services Society] (BSS), 2022
Preetam Nandy
Xiufan Yu
Wanjun Liu
Ye Tu
Kinjal Basu
S. Chatterjee
CML
278
9
0
04 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit
  Performance
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance
Gabriel Okasa
CML
247
12
0
30 Jan 2022
Treatment Targeting by AUUC Maximization with Generalization Guarantees
Treatment Targeting by AUUC Maximization with Generalization Guarantees
Artem Betlei
Eustache Diemert
Massih-Reza Amini
CML
228
5
0
17 Dec 2020
How to "Improve" Prediction Using Behavior Modification
How to "Improve" Prediction Using Behavior ModificationInternational Journal of Forecasting (IJF), 2020
Galit Shmueli
A. Tafti
OffRLAI4TS
332
12
0
26 Aug 2020
Automated versus do-it-yourself methods for causal inference: Lessons
  learned from a data analysis competition
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
918
327
0
09 Jul 2017
1
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