I'm an assistant professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. I got my Ph.D. degree in Computer Science at Politecnico di Milano, where I was advised by Prof. Nicola Gatti. My research focuses on AI and Machine Learning, with particular emphasis on algorithmic game theory, which combines AI techniques with economic paradigms to build artificial agents capable of strategic reasoning in conflicting interactions. I am also interested in algorithms design, computational complexity, online learning and optimization.
You can find more details in my CV.
email alberto DOT marchesi AT polimi DOT it
11.08.2023
I have been awarded a PRIN 2022 grant and I am looking to hire a postdoc starting from around December 2023. Click here for more information!
21.06.2023
2 Papers accepted at ICML 2023 + 1 Paper accepted at EC 2023!
03.11.2022
Our paper "Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium" (with Andrea Celli, Gabriele Farina and Nicola Gatti) has been accepted at the Journal of the ACM!
28.09.2022
2 Papers accepted at NeurIPS 2022!
Martino Bernasconi, Alberto Marchesi, Francesco Trovò
The 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, Valencia, Spain
[Extended version]
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 12th International Conference on Learning Representations, ICLR 2024, Vienna, Austria
[Extended version]
Matteo Castiglioni, Alberto Latino, Alberto Marchesi, Giulia Romano, Nicola Gatti, Chokha Palayamkottai
The 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand
[Extended version]
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti
The 37th Conference on Neural Information Processing Systems, NeurIPS 2023, New Orleans, USA
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 24th ACM Conference on Economics and Computation, EC 2023, London, UK
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti
The 40th International Conference on Machine Learning, ICML 2023, Honolulu, USA
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti
The 40th International Conference on Machine Learning, ICML 2023, Honolulu, USA
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti
The 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, USA
[Supplemental Material]
[Extended version]
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
The 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, USA
[Supplemental Material]
[Extended version]
Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
The 39th International Conference on Machine Learning, ICML 2022, Baltimore, USA
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 23rd ACM Conference on Economics and Computation, EC 2022, Boulder, USA
[Extended version]
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti
The 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria
[Extended version]
Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria
[Extended version]
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 21st International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2022, Virtual conference, Worldwide
[Extended version]
Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti
The 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual conference, Worldwide
[Extended version]
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano
The 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual conference, Worldwide
[Extended version]
Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò
The 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual Conference, Worldwide
[Supplemental Material]
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 22nd ACM Conference on Economics and Computation, EC 2021, Virtual conference, Worldwide
[Extended version]
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
The 30th International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Conference, Worldwide
[Extended version]
Castiglioni Matteo, Marchesi Alberto, Celli Andrea, Gatti Nicola
The 38th International Conference on Machine Learning, ICML 2021, Virtual conference, Worldwide
[Supplemental Material]
Giulia Romano, Gianluca Tartaglia, Alberto Marchesi, Nicola Gatti
The 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual conference, Worldwide
[Extended version]
Alberto Marchesi, Nicola Gatti
The 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual conference, Worldwide
[Extended version]
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
The 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual conference, Worldwide
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
The 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Virtual Conference, Worldwide
whatshotwhatshotwhatshot NeurIPS 2020 Best Paper Award, top 3 out of 9476 submissions
[Supplemental Material]
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
The 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Virtual Conference, Worldwide
Spotlight presentation, top 2.96% of submissions
[Supplemental Material]
Alberto Marchesi, Francesco Trovò, Nicola Gatti
The 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020, Virtual Conference, Worldwide
[Extended version]
Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti
The 33rd Conference on Neural Information Processing Systems, NeurIPS 2019, Vancouver, Canada
[Supplemental Material]
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China
[Extended version]
Alberto Marchesi, Matteo Castiglioni, Nicola Gatti
The 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China
[Extended version]
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm
The 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, Honolulu, USA
[Extended version]
Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm
The 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden
Alberto Marchesi, Stefano Coniglio, Nicola Gatti
The 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden
Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti
The 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, New Orleans, USA
[Extended version]
Stefano Coniglio, Nicola Gatti, Alberto Marchesi
The 26th International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia
Andrea Celli, Alberto Marchesi, Nicola Gatti
The 33rd Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia
Nicola Basilico, Stefano Coniglio, Nicola Gatti, Alberto Marchesi
The 16th International Symposium on Experimental Algorithms, SEA 2017, London, UK
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Artificial Intelligence, 2023
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
Artificial Intelligence, 2023
Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
Journal of the ACM, Volume 69, 2022
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Artificial Intelligence, 2022
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Artificial Intelligence, 2021
Nicola Gatti, Mario Gilli, Alberto Marchesi
Games and Economic Behavior, 2020
Stefano Coniglio, Nicola Gatti, Alberto Marchesi
Algorithmica, 2020
Nicola Basilico, Stefano Coniglio, Nicola Gatti, Alberto Marchesi
EURO Journal on Computational Optimization, 2020
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Stefano Coniglio
Artificial Intelligence, 2019
Laurea Triennale in Ingegneria Meccanica e Laurea Triennale in Ingegneria Energetica (sez. SAM-ZZZ)
Professor during the academic years 2022-2023; 2023-2024
Ph.D. in Information Technology and M.Sc. in Computer Science Engineering
Professor during the academic year 2022-2023
M.Sc. in Computer Science Engineering and M.Sc. in Mathematical Engineering
TA during the academic years 2021-2022; 2022-2023; 2023-2024
Laurea Triennale in Ingegneria Matematica (sez. M-Z)
TA during the academic years 2018-2019; 2019-2020; 2020-2021; 2021-2022
M.Sc. in Computer Science Engineering and M.Sc. in Mathematical Engineering
TA during the academic years 2017-2018; 2018-2019; 2019-2020; 2020-2021
M.Sc. in Mathematical Engineering
TA during the academic year 2019-2020
I am looking for a postdoctoral research fellow to join my team at Politecnico di Milano and contribute to research in online learning and computational game theory. This is a fully funded, full-time research opportunity that does not involve any mandatory teaching duties. The contract duration for this position is expected to be 12 months. I offer a competitive salary, and applicants from outside Italy may have the opportunity to benefit from a researcher taxation scheme. This position is made possible through a collaborative research grant shared with Bocconi University. The successful candidate will be based at Politecnico di Milano working under my supervision, and they will also have the opportunity to closely collaborate with Andrea Celli's group at Bocconi University. The research project considers topics at the intersection of online learning and computational game theory. The primary objective of the project is to delve into the challenges of steering the collective behaviour of no-regret learners towards specific target outcomes. The project is a natural continuation of some of my recent research. Ideal candidates should have a track record in performing top-quality research in machine learning theory/computational game theory compatible with the standards of venues like EC, ICML, and NeurIPS. Demonstrated past experience with such topics will be evaluated very positively.
If you are interested in this postdoctoral position and seek further information, please do not hesitate to reach out to me at alberto.marchesi@polimi.it. Please attach an up-to-date CV including a list of publications.