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Uplift Modeling for Multiple Treatments with Cost Optimization
v1v2v3 (latest)

Uplift Modeling for Multiple Treatments with Cost Optimization

14 August 2019
Zhenyu Zhao
Totte Harinen
ArXiv (abs)PDFHTML

Papers citing "Uplift Modeling for Multiple Treatments with Cost Optimization"

15 / 15 papers shown
Title
Inform Product Change through Experimentation with Data-Driven
  Behavioral Segmentation
Inform Product Change through Experimentation with Data-Driven Behavioral Segmentation
Zhenyu Zhao
Yan He
Miao Chen
16
7
0
25 Jan 2022
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions
  Recommendation within ROI Constraints
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
Dmitri Goldenberg
Javier Albert
Lucas Bernardi
PabloA . Estevez
41
32
0
14 Aug 2020
Contextual Multi-Armed Bandits for Causal Marketing
Contextual Multi-Armed Bandits for Causal Marketing
Neela Sawant
C. Namballa
Narayanan Sadagopan
Houssam Nassif
CML
38
29
0
02 Oct 2018
Transfer Learning for Estimating Causal Effects using Neural Networks
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. Künzel
Bradly C. Stadie
N. Vemuri
V. Ramakrishnan
Jasjeet Sekhon
Pieter Abbeel
CML
49
32
0
23 Aug 2018
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie
Stefan Wager
CML
170
655
0
13 Dec 2017
Some methods for heterogeneous treatment effect estimation in
  high-dimensions
Some methods for heterogeneous treatment effect estimation in high-dimensions
Scott Powers
Junyang Qian
Kenneth Jung
Alejandro Schuler
N. Shah
Trevor Hastie
Robert Tibshirani
CML
79
219
0
01 Jul 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using
  Machine Learning
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Sören R. Künzel
Jasjeet Sekhon
Peter J. Bickel
Bin Yu
CML
167
930
0
12 Jun 2017
Uplift Modeling with Multiple Treatments and General Response Types
Uplift Modeling with Multiple Treatments and General Response Types
Yan Zhao
X. Fang
D. Simchi-Levi
54
79
0
23 May 2017
Estimating Individual Treatment Effect in Observational Data Using
  Random Forest Methods
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods
Gian-Andrea Thanei
Saad Sadiq
Daniel J. Feaster
N. Meinshausen
CML
73
144
0
19 Jan 2017
Generalized Random Forests
Generalized Random Forests
Susan Athey
J. Tibshirani
Stefan Wager
351
1,371
0
05 Oct 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDaCML
378
2,496
0
14 Oct 2015
Recursive Partitioning for Heterogeneous Causal Effects
Recursive Partitioning for Heterogeneous Causal Effects
Susan Athey
Guido Imbens
CML
271
1,438
0
05 Apr 2015
Doubly Robust Policy Evaluation and Optimization
Doubly Robust Policy Evaluation and Optimization
Miroslav Dudík
D. Erhan
John Langford
Lihong Li
OffRL
194
290
0
10 Mar 2015
Unbiased Offline Evaluation of Contextual-bandit-based News Article
  Recommendation Algorithms
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li
Wei Chu
John Langford
Xuanhui Wang
OffRL
233
577
0
31 Mar 2010
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
473
2,957
0
28 Feb 2010
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