PhD Student

Université Paris-Dauphine and CNRS

tahar.allouche [at]

Short bio

Mathematical Engineering degree from ENSTA Paris – M2 Optimization from Paris-Saclay university

Thesis title

Learning societal preferences for automated collective decision making.

Short abstract

We study sophisticated models of agents’ preferences as data structure in a learning framework for collective decision aiding. Statistical, computational and epistemic aspects of the preferences are considered in order to thoroughly explore their structure and efficiently infer optimal decisions.