Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
Metalearners for Ranking Treatment Effects
Toon Vanderschueren, Wouter Verbeke, Felipe Moraes +1
Efficiently allocating treatments with a budget constraint constitutes an important challenge across various domains. In marketing, for example, the use of promotions to target pot…
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.LG2022
Extending Open Bandit Pipeline to Simulate Industry Challenges
Bram van den Akker, Niklas Weber, Felipe Moraes +1
Bandit algorithms are often used in the e-commerce industry to train Machine Learning (ML) systems when pre-labeled data is unavailable. However, the industry setting poses various…