Gabriele Dragotto

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In Academia,I was broadly interested in decision-making, in particular in settings where: (i.) there is a large amount of data, (ii.) several competing decision-makers interact, (iii.) there are scarce or limited resources, for instance, computing resources, time or money, (iv.) decisions should happen in real-time. In practice, I am to support decision-makers involved in energy markets, autonomous systems, intelligent infrastructure and telecommunication systems. My research involves both predictive (i.e., machine learning) and prescriptive (i.e., optimization and game theory) tools.

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You can find an (outdated - early 2025) version of my vitae here

Pre-prints, articles, tutorial and books

Integer Programming Games
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
Foundations and Trends® in Optimization (2025)
Differentiable Cutting-plane Layers for Mixed-Integer Linear Optimization
Gabriele Dragotto, Stefan Clarke, Jaime Fernández Fisac, Bartolomeo Stellato
arXiv:2311.03350 (preprint (2023))
- CISS 2024 - Princeton (03/2024)
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime F Fisac
Robotics: Science and Systems 2024 (2024)
- INFORMS Optimization Society 2024 - Houston (03/2024)
Computing Approximate Nash Equilibria for Integer Programming Games
Aloïs Duguet, Margarida Carvalho, Gabriele Dragotto, Sandra Ulrich Ngueveu
Operations Research Letters (2025)
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, Learning and Networks - IMS-NUS Singapore (04/2023)
The Critical Node Game
Gabriele Dragotto, Amine Boukhtouta, Andrea Lodi, Mehdi Taobane
Journal of Combinatorial Optimization (2024)
- 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, Learning 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
Operations Research (2025)
- EURO 2021 (07/2021)
When Nash Meets Stackelberg
Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi, Sriram Sankaranarayanan
Management Science (2023)
- 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)
- 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)