93 citations · 195 across the 11 of their papers we have counts for
4 papers · 1 filter
Interpretable Multiple Treatment Revenue Uplift Modeling
Robin M. Gubela, Stefan Lessmann
Big data and business analytics are critical drivers of business and societal transformations. Uplift models support a firm's decision-making by predicting the change of a customer…
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
Justin Engelmann, Stefan Lessmann
Class imbalance is a common problem in supervised learning and impedes the predictive performance of classification models. Popular countermeasures include oversampling the minorit…
Response Transformation and Profit Decomposition for Revenue Uplift Modeling
Robin M. Gubela, Stefan Lessmann, Szymon Jaroszewicz
Uplift models support decision-making in marketing campaign planning. Estimating the causal effect of a marketing treatment, an uplift model facilitates targeting communication to…
Affordable Uplift: Supervised Randomization in Controlled Experiments
Johannes Haupt, Daniel Jacob, Robin M. Gubela +1
Customer scoring models are the core of scalable direct marketing. Uplift models provide an estimate of the incremental benefit from a treatment that is used for operational decisi…