Théo Verhelst

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Learning Strategies

Credit Card Fraud Detection

Churn Prediction

Top Venues

BNAIC/BENELEARN

Publications

Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. Mach. Learn. 113 (3) (2024)
Théo Verhelst, Robin Petit, Wouter Verbeke, Gianluca Bontempi
Uplift vs. predictive modeling: a theoretical analysis. CoRR (2023)
Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling. CoRR (2023)
Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. CoRR (2022)
Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi
Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention. DS (2021)
Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi
Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access 9 (2021)
Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN (Selected Papers) (2019)
Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN (2019)