2 citations · 5 across the 14 of their papers we have counts for
5 papers · 1 filter
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente
Two-level stochastic optimization formulations have become instrumental in a number of machine learning contexts such as continual learning, neural architecture search, adversarial…
Derivative-free methods for mixed-integer nonsmooth constrained optimization
Tommaso Giovannelli, Giampaolo Liuzzi, Stefano Lucidi +1
In this paper, we consider mixed-integer nonsmooth constrained optimization problems whose objective/constraint functions are available only as the output of a black-box zeroth-ord…
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department
A. De Santis, T. Giovannelli, S. Lucidi +2
Accurate modeling of the patient flow within an Emergency Department (ED) is required by all studies dealing with the increasing and well-known problem of overcrowding. Since Discr…
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
G. Fava, T. Giovannelli, M. Messedaglia +1
Emergency Departments (EDs) overcrowding is a well recognized worldwide phenomenon. The consequences range from long waiting times for visits and treatment of patients up to life-t…
Determining the optimal piecewise constant approximation for the Nonhomogeneous Poisson Process rate of Emergency Department patient arrivals
A. De Santis, T. Giovannelli, S. Lucidi +2
Modeling the arrival process to an Emergency Department (ED) is the first step of all studies dealing with the patient flow within the ED. Many of them focus on the increasing phen…