1. Athey S, Imbens G (2016) Recursive partitioning for heterogeneous causal effects. Proc Natl Acad Sci 113(27):7353–7360
2. Betlei A, Diemert R, Amini M-R (2018) Uplift prediction with dependent feature representation in imbalanced treatment and control conditions. In: Neural Information Processing, pp 47–57
3. Devriendt F, Guns T, Verbeke W (2020) Learning to rank for uplift modeling. arXiv preprint 2002.05897
4. Diemert E, Betlei A, Renaudin C, Amini M-R (2018) A large scale benchmark for uplift modeling. In: Proceedings of the AdKDD workshop, KDD’18, ACM, London
5. Gubela RM, Lessmann S, Jaroszewicz S (2020) Response transformation and profit decomposition for revenue uplift modeling. Eur J Oper Res 283(2):647–661. ISSN 0377-2217, https://doi.org/10.1016/j.ejor.2019.11.030, http://www.sciencedir ect.com/science/article/pii/S0377221719309415