Working manuscripts

• Who Plays First?
  Gabriele Dragotto, Jaime Fernández Fisac, Haimin Hu, Bartolomeo Stellato
  
  • INFORMS 2023, Phoenix (10/2023)

Pre-prints and Articles

• Differentiable Cutting-plane Layers for Mixed-Integer Linear Optimization
  Gabriele Dragotto, Stefan Clarke, Jaime Fernández Fisac, Bartolomeo Stellato
  arXiv:2311.03350 preprint (2023)
  
• Integer Programming Games: A Gentle Computational Overview
  Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
  INFORMS TutORials in Operations Research (2023)
  
  • INFORMS - TutORials in Operations Research - Phoenix (10/2023)
  • DIGEP Seminars - Politecnico di Torino (07/2023)
  • 13th Day on Computational Game Theory - Vrije Universiteit Amsterdam (06/2023)
• Learning Rationality in Potential Games
  Stefan Clarke, Gabriele Dragotto, Jaime Fernández Fisac, Bartolomeo Stellato
  IEEE Conference on Decision and Control (CDC) (2023)
  
  • Universität Trier (07/2023)
  • SIAM Optimization 2023 - Seattle (06/2023)
  • Games, Learnning and Networks - IMS-NUS Singapore (04/2023)
• The Critical Node Game
  Gabriele Dragotto, Amine Boukhtouta, Andrea Lodi, Mehdi Taobane
  arXiv:2303.05961 preprint (2023)
  
  • Ericsson Inc. Canada - Internal Meeting (08/2022)
• The ZERO Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming
  Gabriele Dragotto, Rosario Scatamacchia
  INFORMS Journal on Computing (2023)
  
  • 13th Day on Computational Game Theory - Vrije Universiteit Amsterdam (06/2023)
  • Games, Learnning and Networks - IMS-NUS Singapore (04/2023)
  • Schloss Dagstuhl - “Optimization at the Second Level” (10-11/2022)
  • INFORMS 2022 - Indianapolis (10/2022)
  • Princeton ORFE - Optimization Seminars (05/2022)
• ZERO: Playing Mathematical Programming Games
  Gabriele Dragotto, Sriram Sankaranarayanan, Margarida Carvalho, Andrea Lodi
  arXiv:2111.07932 preprint (2022)
  
• The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations
  Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
  arXiv:2111.05726 preprint (2022)
  
  • EURO 2021 (07/2021)
• When Nash Meets Stackelberg
  Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi, Sriram Sankaranarayanan
  Management Science (2023, Forthcoming)
  
  • AIRO Young Workshop (02/2021)
  • Mixed Integer Programming Workshop (Poster) (05/2020)
  • Assuois Combinatorial Optimization Workshop (Pitch) (01/2020)
• On fairness and diversification in WTA and ATP tennis tournaments generation
  Federico Della Croce, Gabriele Dragotto, Rosario Scatamacchia
  Annals of Operations Research (2020)
  
  • EURO 2018 (07/2018)
• Merging Combinatorial Design and Optimization: the Oberwolfach Problem
  Fabio Salassa, Gabriele Dragotto, Tommaso Traetta, Marco Buratti, Federico Della Croce
  Australasian Journal of Combinatorics (2019)
  
  • Optimization Days 2019 - Montréal (05/2019)

Theses

• Mathematical Programming Games
  Gabriele Dragotto
  Polytechnique Montréal (2022)
  
  • Princeton Postdoctoral Council Seminars (11/2022)
  • Safe Robotics Lab (09/2022)
  • Princeton ORFE - Optimization Seminars (05/2022)
  • ECCO 2022 Plenary (06/2022) Presented by Andrea Lodi 
  • Polytechnique Montréal (02/2022)
• Fair Players Allocation in ATP Tournaments Generation
  Gabriele Dragotto
  Politecnico di Torino (2018)
  
  • EURO 2018 (07/2018)
  • Politecnico di Torino (06/2018)