activity
20152026
most citedA Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization

140 citations · 165 across the 10 of their papers we have counts for

collaborators

11 papers

math.OC2026

An Integer Programming Approach to Compute Lower Bounds for Ramsey Numbers Using Circulant Graphs

Stefano Coniglio, Fabio Furini, Ivana Ljubić +3

The Ramsey number is the smallest order at which every red-blue edge coloring of a complete graph must contain a blue clique (a complete subgraph) of size or a red cli…

cs.LG2022

SigMaNet: One Laplacian to Rule Them All

Stefano Fiorini, Stefano Coniglio, Michele Ciavotta +1

This paper introduces SigMaNet, a generalized Graph Convolutional Network (GCN) capable of handling both undirected and directed graphs with weights not restricted in sign nor magn…

math.OC2021★ 140 cited

A Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization

Suresh Bolusani, Stefano Coniglio, Ted. K. Ralphs +1

We introduce a unified framework for the study of multilevel mixed integer linear optimization problems and multistage stochastic mixed integer linear optimization problems with re…

cs.LG2021

Deep learning methods for screening patients' S-ICD implantation eligibility

Anthony J. Dunn, Mohamed H. ElRefai, Paul R. Roberts +3

Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden cardiac death triggered by ventricular arrhythmias. T Wave Over Sensing (TWOS) is an…

cs.LG2020★ 5 cited

Infrequent adverse event prediction in low carbon energy production using machine learning

Stefano Coniglio, Anthony J. Dunn, Alain B. Zemkoho

We address the problem of predicting the occurrence of infrequent adverse events in the context of predictive maintenance. We cast the corresponding machine learning task as an imb…

cs.AI2019★ 3 cited

Bayesian Persuasion with Sequential Games

Andrea Celli, Stefano Coniglio, Nicola Gatti

We study an information-structure design problem (a.k.a. persuasion) with a single sender and multiple receivers with actions of a priori unknown types, independently drawn from ac…

cs.GT2019

Computing Optimal Coarse Correlated Equilibria in Sequential Games

Andrea Celli, Stefano Coniglio, Nicola Gatti

We investigate the computation of equilibria in extensive-form games where ex ante correlation is possible, focusing on correlated equilibria requiring the least amount of communic…

cs.GT2018

Leadership in Singleton Congestion Games: What is Hard and What is Easy

Matteo Castiglioni, Alberto Marchesi, Nicola Gatti +1

We study the problem of computing Stackelberg equilibria Stackelberg games whose underlying structure is in congestion games, focusing on the case where each player can choose a si…

cs.GT2018★ 2 cited

Computing a Pessimistic Leader-Follower Equilibrium with Multiple Followers: the Mixed-Pure Case

Stefano Coniglio, Nicola Gatti, Alberto Marchesi

The search problem of computing a \textit{leader-follower equilibrium} has been widely investigated in the scientific literature in, almost exclusively, the single-follower setting…

cs.GT2017★ 13 cited

Methods for finding leader--follower equilibria with multiple followers

Nicola Basilico, Stefano Coniglio, Nicola Gatti

The concept of leader--follower (or Stackelberg) equilibrium plays a central role in a number of real--world applications of game theory. While the case with a single follower has…

cs.NI2015★ 2 cited

Optimal offline virtual network embedding with rent-at-bulk aspects

Stefano Coniglio, Boris Grimm, Arie M. C. A. Koster +2

Network virtualization techniques allow for the coexistence of many virtual networks (VNs) jointly sharing the resources of an underlying substrate network. The Virtual Network Emb…