Martino Bernasconi

Orcid: 0000-0002-8594-2528

According to our database1, Martino Bernasconi authored at least 34 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Min-Max Optimization Requires Exponentially Many Queries.
CoRR, May, 2026

Nonparametric Contextual Online Bilateral Trade.
CoRR, February, 2026

Optimal Rates for Feasible Payoff Set Estimation in Games.
CoRR, February, 2026

The Complexity of Min-Max Optimization with Product Constraints.
Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025
The Complexity of Correlated Equilibria in Generalized Games.
CoRR, June, 2025

Non-Asymptotic Analysis of (Sticky) Track-and-Stop.
CoRR, May, 2025

Pure Exploration with Infinite Answers.
CoRR, May, 2025

Single-dimensional Contract Design: Efficient Algorithms and Learning.
CoRR, February, 2025

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information.
CoRR, February, 2025

Online learning in sequential Bayesian persuasion: Handling unknown priors.
Artif. Intell., 2025

No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Online Learning in the Random-Order Model.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Feature-Based Online Bilateral Trade.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
On the Role of Constraints in the Complexity of Min-Max Optimization.
CoRR, 2024

Regret-Minimizing Contracts: Agency Under Uncertainty.
CoRR, 2024

No-Regret Learning in Bilateral Trade via Global Budget Balance.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Multi-Agent Contract Design beyond Binary Actions.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Agent-Designed Contracts: How to Sell Hidden Actions.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Bandits with Replenishable Knapsacks: the Best of both Worlds.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
A framework for safe decision making: A convex duality approach.
Intelligenza Artificiale, 2023

Advancing Fraud Detection Systems Through Online Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constrained Phi-Equilibria.
Proceedings of the International Conference on Machine Learning, 2023

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion.
Proceedings of the International Conference on Machine Learning, 2023

2022
Last-iterate Convergence to Trembling-hand Perfect Equilibria.
CoRR, 2022

Sequential Information Design: Learning to Persuade in the Dark.
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.
Proceedings of the International Conference on Machine Learning, 2022

Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Conservative Online Convex Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Exploiting Opponents Under Utility Constraints in Sequential Games.
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.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020


  Loading...