1. LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
2. 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.
3. 150 Successful Machine Learning Models
4. Floris Devriendt , Darie Moldovan , and Wouter Verbeke . 2018. A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: A stepping stone toward the development of prescriptive analytics. Big data , Vol. 6 , 1 ( 2018 ). Floris Devriendt, Darie Moldovan, and Wouter Verbeke. 2018. A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: A stepping stone toward the development of prescriptive analytics. Big data, Vol. 6, 1 (2018).
5. Eustache Diemert Artem Betlei Christophe Renaudin and Massih-Reza Amini. 2018. A large scale benchmark for uplift modeling. In KDD. Eustache Diemert Artem Betlei Christophe Renaudin and Massih-Reza Amini. 2018. A large scale benchmark for uplift modeling. In KDD.