Joanis, Marcelin; Lodi, Andrea; Sadoune, Igor - 2022
We propose a solution based on deep generative modeling to the problem of sampling synthetic instances of public procurement auctions from observed data. Our contribution is twofold. First, we overcome the challenges inherent to the replication of multi-level structures commonly seen in auction...