140 citations · 153 across the 4 of their papers we have counts for
8 papers
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…
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…
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…
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…
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…
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…