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A Practically Competitive and Provably Consistent Algorithm for Uplift
  Modeling

A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling

12 September 2017
Yan Zhao
X. Fang
D. Simchi-Levi
    OffRL
ArXiv (abs)PDFHTML

Papers citing "A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling"

6 / 6 papers shown
Title
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
Yuxiang Wei
Zhaoxin Qiu
Yingjie Li
Yuke Sun
Xiaoling Li
OffRL
71
0
0
23 Aug 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
72
2
0
15 Dec 2023
A Twin Neural Model for Uplift
A Twin Neural Model for Uplift
Mouloud Belbahri
Olivier Gandouet
A. Murua
V. Nia
CML
13
1
0
11 May 2021
Adapting Neural Networks for Uplift Models
Adapting Neural Networks for Uplift Models
Mouloud Belbahri
Olivier Gandouet
Ghaith Kazma
48
11
0
30 Oct 2020
Poincare: Recommending Publication Venues via Treatment Effect
  Estimation
Poincare: Recommending Publication Venues via Treatment Effect Estimation
Ryoma Sato
M. Yamada
H. Kashima
CML
49
2
0
19 Oct 2020
A comparison of methods for model selection when estimating individual
  treatment effects
A comparison of methods for model selection when estimating individual treatment effects
Alejandro Schuler
M. Baiocchi
Robert Tibshirani
N. Shah
CML
87
59
0
14 Apr 2018
1