Multiple Instance Learning for Uplift Modeling

Author:

Zhao Yao1,Zhang Haipeng2,Lyu Shiwei1,Jiang Ruiying1,Gu Jinjie1,Zhang Guannan1

Affiliation:

1. Ant Group, Hangzhou, China

2. ShanghaiTech University, Shanghai, China

Publisher

ACM

Reference41 articles.

1. Susan Athey and Guido W Imbens . 2015. Machine learning methods for estimating heterogeneous causal effects. stat , Vol. 1050 , 5 ( 2015 ), 1--26. Susan Athey and Guido W Imbens. 2015. Machine learning methods for estimating heterogeneous causal effects. stat, Vol. 1050, 5 (2015), 1--26.

2. Sanghamitra Bandyopadhyay , Dip Ghosh , Ramkrishna Mitra , and Zhongming Zhao . 2015. MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets. Scientific reports , Vol. 5 , 1 ( 2015 ), 1--12. Sanghamitra Bandyopadhyay, Dip Ghosh, Ramkrishna Mitra, and Zhongming Zhao. 2015. MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets. Scientific reports, Vol. 5, 1 (2015), 1--12.

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

4. A. Betlei E. Diemert and M. R. Amini. 2020. Treatment Targeting by AUUC Maximization with Generalization Guarantees. (2020). A. Betlei E. Diemert and M. R. Amini. 2020. Treatment Targeting by AUUC Maximization with Generalization Guarantees. (2020).

5. Uplift Modeling with Generalization Guarantees

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