Uplift Modeling from Separate Labels

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Uplift Modeling from Separate Labels

14 March 2018

Jamal Atif

Masashi Sugiyama

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Papers citing "Uplift Modeling from Separate Labels"

12 / 12 papers shown

Title
A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization Andrzej Ruszczyñski Shangzhe Yang 63 1 0 17 May 2024
Multiple Instance Learning for Uplift Modeling Yao Zhao Haipeng Zhang Shiwei Lyu Ruiying Jiang Jinjie Gu Guannan Zhang 72 2 0 15 Dec 2023
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions Kazuhiko Shinoda T. Hoshino CML 56 0 0 26 Dec 2022
Non parametric estimation of causal populations in a counterfactual scenario Céline Beji Florian Yger Jamal Atif CML OOD 32 0 0 08 Dec 2021
Estimation of Local Average Treatment Effect by Data Combination Kazuhiko Shinoda T. Hoshino 33 1 0 11 Sep 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences Ikko Yamane Junya Honda Florian Yger Masashi Sugiyama SSL FedML OOD 52 1 0 16 Jul 2021
Treatment Targeting by AUUC Maximization with Generalization Guarantees Artem Betlei Eustache Diemert Massih-Reza Amini CML 62 5 0 17 Dec 2020
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting Thibaud Rahier Amélie Héliou Matthieu Martin Christophe Renaudin Eustache Diemert 8 1 0 07 Aug 2020
A unified survey of treatment effect heterogeneity modeling and uplift modeling Weijia Zhang Jiuyong Li Lin Liu CML 87 60 0 14 Jul 2020
Estimating Individual Treatment Effects through Causal Populations Identification Céline Beji Michaël Bon Florian Yger Jamal Atif CML 14 3 0 10 Apr 2020
Response Transformation and Profit Decomposition for Revenue Uplift Modeling R. M. Gubela Stefan Lessmann S. Jaroszewicz OffRL 62 51 0 20 Nov 2019
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization Yifan Hu Xin Chen Niao He 89 36 0 28 May 2019