Théo Verhelst

According to our database, Théo Verhelst authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

Identifying counterfactual probabilities using bivariate distributions and uplift modeling.

Théo Verhelst, Gianluca Bontempi

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Probability of collision in nonlinear dynamics by moment propagation.

Théo Verhelst, Giacomo Acciarini, Dario Izzo, Francesco Biscani

CoRR, April, 2025

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

Uplift vs. predictive modeling: a theoretical analysis.

Théo Verhelst, Robin Petit, Wouter Verbeke, Gianluca Bontempi

CoRR, 2023

A Churn Prediction Dataset from the Telecom Sector: A New Benchmark for Uplift Modeling.

Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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