no code implementations • 3 May 2024 • Toon Vanderschueren, Wouter Verbeke, Felipe Moraes, Hugo Manuel Proença
We propose an alternative approach based on learning to rank.
no code implementations • 17 Aug 2023 • Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels.
no code implementations • 23 Jun 2023 • Hugo Manuel Proença, Felipe Moraes
Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement.
2 code implementations • 25 Mar 2021 • Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
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.