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Learning to rank for uplift modeling

Learning to rank for uplift modeling

14 February 2020
Floris Devriendt
Tias Guns
Wouter Verbeke
ArXivPDFHTML

Papers citing "Learning to rank for uplift modeling"

7 / 7 papers shown
Title
The Estimation of Continual Causal Effect for Dataset Shifting Streams
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
229
0
0
29 Apr 2025
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Bruno Deprez
Toon Vanderschueren
Bart Baesens
Tim Verdonck
Wouter Verbeke
60
4
0
29 May 2024
Multiple Instance Learning for Uplift Modeling
Multiple Instance Learning for Uplift Modeling
Yao Zhao
Haipeng Zhang
Shiwei Lyu
Ruiying Jiang
Jinjie Gu
Guannan Zhang
32
2
0
15 Dec 2023
The impact of heteroskedasticity on uplift modeling
The impact of heteroskedasticity on uplift modeling
B. Bokelmann
Stefan Lessmann
26
0
0
08 Dec 2023
Improving uplift model evaluation on RCT data
Improving uplift model evaluation on RCT data
B. Bokelmann
Stefan Lessmann
23
0
0
05 Oct 2022
A Large Scale Benchmark for Individual Treatment Effect Prediction and
  Uplift Modeling
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling
Eustache Diemert
Artem Betlei
Christophe Renaudin
Massih-Reza Amini
T. Gregoir
Thibaud Rahier
CML
33
10
0
19 Nov 2021
The foundations of cost-sensitive causal classification
The foundations of cost-sensitive causal classification
Wouter Verbeke
Diego Olaya
Jeroen Berrevoets
Sam Verboven
S. Maldonado
CML
26
10
0
24 Jul 2020
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