141 citations · 380 across the 16 of their papers we have counts for
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cs.LG2023
Uplift Modeling: from Causal Inference to Personalization
Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova +2
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels. Over the last years, causality and…
cs.LG2023
Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions
Hugo Manuel Proença, Felipe Moraes
Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement. This paper focuses on promotions with response-dependent…