1 code implementation • 26 Dec 2023 • Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann
The effectiveness of advertising in e-commerce largely depends on the ability of merchants to bid on and win impressions for their targeted users.
1 code implementation • 19 Nov 2021 • Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier
Individual Treatment Effect (ITE) prediction is an important area of research in machine learning which aims at explaining and estimating the causal impact of an action at the granular level.
no code implementations • 17 Dec 2020 • Artem Betlei, Eustache Diemert, Massih-Reza Amini
In real life scenarios, when we do not have access to ground-truth individual treatment effect, the capacity of models to do so is generally measured by the Area Under the Uplift Curve (AUUC), a metric that differs from the learning objectives of most of the Individual Treatment Effect (ITE) models.