Martino Bernasconi

According to our database, Martino Bernasconi authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The evolutionary dynamics of soft-max policy gradient in multi-agent settings.

Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò

Theor. Comput. Sci., 2025

Online learning in sequential Bayesian persuasion: Handling unknown priors.

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò

Artif. Intell., 2025

2024

Feature-Based Online Bilateral Trade.

Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet

CoRR, 2024

Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints.

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco

CoRR, 2024

No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization.

Martino Bernasconi, Matteo Castiglioni, Andrea Celli

CoRR, 2024

Regret-Minimizing Contracts: Agency Under Uncertainty.

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi

CoRR, 2024

No-Regret Learning in Bilateral Trade via Global Budget Balance.

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco

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

Multi-Agent Contract Design beyond Binary Actions.

Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Agent-Designed Contracts: How to Sell Hidden Actions.

Martino Bernasconi, Matteo Castiglioni, Andrea Celli

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Bandits with Replenishable Knapsacks: the Best of both Worlds.

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games.

Martino Bernasconi, Alberto Marchesi, Francesco Trovò

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A framework for safe decision making: A convex duality approach.

Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni

Intelligenza Artificiale, 2023

Advancing Fraud Detection Systems Through Online Learning.

Tommaso Paladini, Martino Bernasconi de Luca, Michele Carminati, Mario Polino, Francesco Trovò, Stefano Zanero

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Persuading Farsighted Receivers in MDPs: the Power of Honesty.

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti

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

Constrained Phi-Equilibria.

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti

Proceedings of the International Conference on Machine Learning, 2023

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion.

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti

Proceedings of the International Conference on Machine Learning, 2023

2022

Last-iterate Convergence to Trembling-hand Perfect Equilibria.

Martino Bernasconi, Alberto Marchesi, Francesco Trovò

CoRR, 2022

Sequential Information Design: Learning to Persuade in the Dark.

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints.

Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò

Proceedings of the International Conference on Machine Learning, 2022

Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach.

Martino Bernasconi, Stefano Martino, Edoardo Vittori, Francesco Trovò, Marcello Restelli

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Conservative Online Convex Optimization.

Martino Bernasconi de Luca, Edoardo Vittori, Francesco Trovò, Marcello Restelli

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Exploiting Opponents Under Utility Constraints in Sequential Games.

Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò

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

2020

Dealing with transaction costs in portfolio optimization: online gradient descent with momentum.

Edoardo Vittori, Martino Bernasconi de Luca, Francesco Trovò, Marcello Restelli

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020