Valentine Huré

Doctorant
Personal website:
Office: 31.1.73

I am a third year PhD student working with Amélie Lambert and Zacharie Alès. Our research focuses on the construction of optimal classification trees using mathematical programming. Initially, we focused on improving state-of-the-art mathematical programs. By combining this work with a new algorithm for learning classification tree parameters, we have significantly reduced computing time while maintaining or improving learning performances. We are now in the process of developing a method to scale the construction of optimal classification trees. Approaches based on the direct resolution of mathematical programs are unable to build high-performance trees beyond a few thousand data sets. Our method consists in clustering data to solve smaller mathematical programs.

2024

Articles de revue

  1. Alès, Z.; Huré, V. and Lambert, A. New optimization models for optimal classification trees. In Computers and Operations Research, 164: 106515, 2024. doi  www 

Non publié

  1. Ales, Z.; Huré, V. and Lambert, A. Clustering data for the Optimal Classication Tree Problem. , working paper or preprint. www 

2022

Articles de conférence

  1. Alès, Z.; Huré, V. and Lambert, A. New optimization models for optimal classification trees. In 32nd European Conference on Operational Research (EURO 2022), Espoo, Finland, 2022. www 
  1. Alès, Z.; Huré, V. and Lambert, A. Modélisations d'arbres de décision optimaux. In 23ème congrès annuel de la société Franc caise de Recherche Opérationnelle et d'Aide `a la Décision (ROADEF 22), Lyon, France, 2022. www 
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