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Found 3 papers, 1 papers with code
Uplift Modeling: from Causal Inference to Personalization
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels.
Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions
Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement.
Robust subgroup discovery
This novel model class allows us to formalise the problem of optimal robust subgroup discovery using the Minimum Description Length (MDL) principle, where we resort to optimal Normalised Maximum Likelihood and Bayesian encodings for nominal and numeric targets, respectively.
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