2 papers
cs.LG2021
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets
Davide La Torre, Danilo Liuzzi, Marco Repetto +1
The training phase is the most important stage during the machine learning process. In the case of labeled data and supervised learning, machine training consists in minimizing the…
econ.TH2019
Transboundary Pollution Externalities: Think Globally, Act Locally?
Davide La Torre, Danilo Liuzzi, Simone Marsiglio
We analyze the implications of transboundary pollution externalities on environmental policymaking in a spatial and finite time horizon setting. We focus on a simple regional optim…