Research
Optimization, game theory and machine learning for decisions under pressure.
Former postdoc at Princeton's CSML and ORFE. Ph.D. in Mathematics, Polytechnique Montréal.
Publications
Integer Programming Games
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
Differentiable Cutting-plane Layers for Mixed-Integer Linear Optimization
Gabriele Dragotto, Stefan Clarke, Jaime Fernández Fisac, Bartolomeo Stellato
arXiv:2311.03350·preprint (2023)
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
›1 talk
- INFORMS Optimization Society 2024Houston, 03/2024Slides
Computing Approximate Nash Equilibria for Integer Programming Games
Aloïs Duguet, Margarida Carvalho, Gabriele Dragotto, Sandra Ulrich Ngueveu
Integer Programming Games: A Gentle Computational Overview
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
INFORMS TutORials in Operations Research·2023
›3 talks
- INFORMS - TutORials in Operations ResearchPhoenix, 10/2023Slides
- DIGEP SeminarsPolitecnico di Torino, 07/2023Slides
- 13th Day on Computational Game TheoryVrije Universiteit Amsterdam, 06/2023Slides
Learning Rationality in Potential Games
Stefan Clarke, Gabriele Dragotto, Jaime Fernández Fisac, Bartolomeo Stellato
IEEE Conference on Decision and Control (CDC)·2023
›3 talks
- Universität Trier07/2023Slides
- SIAM Optimization 2023Seattle, 06/2023Slides
- Games, Learning and NetworksIMS-NUS Singapore, 04/2023Slides
The Critical Node Game
Gabriele Dragotto, Amine Boukhtouta, Andrea Lodi, Mehdi Taobane
Journal of Combinatorial Optimization·2024
›1 talk
- Ericsson Inc. Canada - Internal Meeting08/2022
The ZERO Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming
Gabriele Dragotto, Rosario Scatamacchia
INFORMS Journal on Computing·2023
›5 talks
- 13th Day on Computational Game TheoryVrije Universiteit Amsterdam, 06/2023Slides
- Games, Learning and NetworksIMS-NUS Singapore, 04/2023Slides
- Schloss Dagstuhl - "Optimization at the Second Level"10-11/2022Slides
- INFORMS 2022 - Indianapolis10/2022Slides
- Princeton ORFE - Optimization Seminars05/2022Slides
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
When Nash Meets Stackelberg
Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi, Sriram Sankaranarayanan
Management Science·2023
On fairness and diversification in WTA and ATP tennis tournaments generation
Federico Della Croce, Gabriele Dragotto, Rosario Scatamacchia
Merging Combinatorial Design and Optimization: the Oberwolfach Problem
Fabio Salassa, Gabriele Dragotto, Tommaso Traetta, Marco Buratti, Federico Della Croce
Australasian Journal of Combinatorics·2019
›1 talk
Theses
Mathematical Programming Games
Gabriele Dragotto
Polytechnique Montréal·2022
›5 talks
Fair Players Allocation in ATP Tournaments Generation
Gabriele Dragotto
Politecnico di Torino·2018
›2 talks
- EURO 201807/2018Slides
- Politecnico di Torino06/2018