Tommaso Cesari

According to our database, Tommaso Cesari authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cooperative Online Learning with Feedback Graphs.

Nicolò Cesa-Bianchi, Tommaso Cesari, Riccardo Della Vecchia

Trans. Mach. Learn. Res., 2024

Bilateral Trade: A Regret Minimization Perspective.

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi

Math. Oper. Res., 2024

Regret Analysis of Bilateral Trade with a Smoothed Adversary.

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi

J. Mach. Learn. Res., 2024

A Contextual Online Learning Theory of Brokerage.

François Bachoc, Tommaso Cesari, Roberto Colomboni

CoRR, 2024

Fair Online Bilateral Trade.

François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni

CoRR, 2024

Trading Volume Maximization with Online Learning.

Tommaso Cesari, Roberto Colomboni

CoRR, 2024

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations.

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

An Online Learning Theory of Brokerage.

Natasa Bolic, Tommaso Cesari, Roberto Colomboni

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

On the Minimax Regret for Online Learning with Feedback Graphs.

Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Repeated Bilateral Trade Against a Smoothed Adversary.

Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Learning the Stackelberg Equilibrium in a Newsvendor Game.

Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Nonstochastic Bandits with Composite Anonymous Feedback.

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour

J. Mach. Learn. Res., 2022

Regret Analysis of Dyadic Search.

François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice

CoRR, 2022

A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization.

François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice

CoRR, 2022

Online Learning in Supply-Chain Games.

Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug

CoRR, 2022

An Application of Online Learning to Spacecraft Memory Dump Optimization.

Tommaso Cesari, Jonathan Pergoli, Michele Maestrini, Pierluigi Di Lizia

CoRR, 2022

2021

A Regret Analysis of Bilateral Trade.

Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

A New Theoretical Framework for Fast and Accurate Online Decision-Making.

Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates.

François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Efficient Algorithm for Cooperative Semi-Bandits.

Riccardo Della Vecchia, Tommaso Cesari

Proceedings of the Algorithmic Learning Theory, 2021

The Sample Complexity of Level Set Approximation.

François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

ALGORITHMS, LEARNING, AND OPTIMIZATION.

Tommaso Renato Cesari

PhD thesis, 2020

A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces.

Tommaso Cesari, Roberto Colomboni

CoRR, 2020

Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization.

Clément Bouttier, Tommaso Cesari, Sébastien Gerchinovitz

CoRR, 2020

Cooperative Online Learning: Keeping your Neighbors Updated.

Nicolò Cesa-Bianchi, Tommaso Cesari, Claire Monteleoni

Proceedings of the Algorithmic Learning Theory, 2020

2019

Repeated A/B Testing.

Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour, Vianney Perchet

CoRR, 2019

Dynamic Pricing with Finitely Many Unknown Valuations.

Nicolò Cesa-Bianchi, Tommaso Cesari, Vianney Perchet

Proceedings of the Algorithmic Learning Theory, 2019