3 citations · 3 across the 1 of their papers we have counts for
4 papers
Finite-sample guarantees for data-driven forward-backward operator methods
Filippo Fabiani, Barbara Franci
We establish finite sample certificates on the quality of solutions produced by data-based forward-backward (FB) operator splitting schemes. As frequently happens in stochastic reg…
Concentration inequalities for semidefinite least squares based on data
Filippo Fabiani, Andrea Simonetto
We study data-driven least squares (LS) problems with semidefinite (SD) constraints and derive finite-sample guarantees on the spectrum of their optimal solutions when these constr…
Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens
Guido Carnevale, Filippo Fabiani, Filiberto Fele +2
We present a fully-distributed algorithm for Nash equilibrium seeking in aggregative games over networks. The proposed scheme endows each agent with a gradient-based scheme equippe…
Actively learning equilibria in Nash games with misleading information
Barbara Franci, Filippo Fabiani, Alberto Bemporad
We develop a scheme based on active learning to compute equilibria in a generalized Nash equilibrium problem (GNEP). Specifically, an external observer (or entity), with little kno…