Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions-Reference-Cited by-同舟云学术

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Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditions

Published:2018 Issue: Volume: Page:47-57
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Betlei Artem,Diemert Eustache,Amini Massih-Reza

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04221-9_5

Reference13 articles.

1. Chapelle, O., Manavoglu, E., Rosales, R.: Simple and scalable response prediction for display advertising. ACM Trans. Intell. Syst. Technol. 5(4), 61:1–61:34 (2014)

2. Hillstrom, K.: The MineThatData e-mail analytics and data mining challenge (2008)

3. Jaskowski, M., Jaroszewicz, S.: Uplift modeling for clinical trial data. In: ICML Workshop on Clinical Data Analysis (2012)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);F Kuusisto,2014

5. Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge University Press, New York (2000)

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