activity
20192022
collaborators

7 papers

math.OC2022

A stochastic generalized Nash equilibrium model for platforms competition in the ride-hail market

Filippo Fabiani, Barbara Franci

The presence of uncertainties in the ride-hailing market complicates the pricing strategies of on-demand platforms that compete each other to offer a mobility service while strivin…

stat.ME2021

Asymptotic Incidence Rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European Countries

Filippo Carone Fabiani

During an ongoing epidemic, especially in the case of a new agent, data are partial and sparse, also affected by external factors as for example climatic effects or preparedness an…

eess.SY2021

Pursuing robust decisions in uncertain traffic equilibrium problems

Filippo Fabiani

We evaluate the robustness of agents' traffic equilibria in randomized routing games characterized by an uncertain network demand with a possibly unknown probability distribution.…

math.OC2020

On the robustness of equilibria in generalized aggregative games

Filippo Fabiani, Kostas Margellos, Paul J. Goulart

We address the problem of assessing the robustness of the equilibria in uncertain, multi-agent games. Specifically, we focus on generalized Nash equilibrium problems in aggregative…

eess.SY2020

The optimal transport paradigm enables data compression in data-driven robust control

Filippo Fabiani, Paul J. Goulart

A new data-enabled control technique for uncertain linear time-invariant systems, recently conceived by Coulson et\ al., builds upon the direct optimization of controllers over inp…

math.OC2019

A preconditioned Forward-Backward method for partially separable SemiDefinite Programs

Filippo Fabiani, Sergio Grammatico

We present semi-decentralized and distributed algorithms, designed via a preconditioned forward-backward operator splitting, for solving large-scale, decomposable semidefinite prog…