Théo Verhelst

According to our database, Théo Verhelst authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment.

Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi

Mach. Learn., 2024

2023

A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling.

Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi

CoRR, 2023

Uplift vs. predictive modeling: a theoretical analysis.

Théo Verhelst, Robin Petit, Wouter Verbeke, Gianluca Bontempi

CoRR, 2023

2021

Transfer Learning Strategies for Credit Card Fraud Detection.

Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi

IEEE Access, 2021

Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention.

Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi

Proceedings of the Discovery Science - 24th International Conference, 2021

2019

Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference.

Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi

Proceedings of the Artificial Intelligence and Machine Learning, 2019