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.