Dealing with transaction costs in portfolio optimization: online gradient descent with momentum. - Edoardo Vittori; Martino Bernasconi de Luca; Francesco Trovò; Marcello Restelli (ICAIF, 2020)

Exploiting Opponents Under Utility Constraints in Sequential Games. - Martino Bernasconi de Luca; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Alberto Marchesi 001; Francesco Trovò (NeurIPS, 2021)

Conservative Online Convex Optimization. - Martino Bernasconi de Luca; Edoardo Vittori; Francesco Trovò; Marcello Restelli (ECML/PKDD (1), 2021)

The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. - Martino Bernasconi; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Francesco Trovò (AAMAS, 2022)

Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach. - Martino Bernasconi; Stefano Martino; Edoardo Vittori; Francesco Trovò; Marcello Restelli (ICAIF, 2022)

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. - Martino Bernasconi; Federico Cacciamani; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (ICML, 2022)

Sequential Information Design: Learning to Persuade in the Dark. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (NeurIPS, 2022)

Last-iterate Convergence to Trembling-hand Perfect Equilibria. - Martino Bernasconi; Alberto Marchesi 001; Francesco Trovò (CoRR, 2022)

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Alberto Marchesi 001; Francesco Trovò; Nicola Gatti 001 (ICML, 2023)

Constrained Phi-Equilibria. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Francesco Trovò; Nicola Gatti 001 (ICML, 2023)

Persuading Farsighted Receivers in MDPs: the Power of Honesty. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Mirco Mutti (NeurIPS, 2023)

Advancing Fraud Detection Systems Through Online Learning. - Tommaso Paladini; Martino Bernasconi de Luca; Michele Carminati; Mario Polino; Francesco Trovò; Stefano Zanero (ECML/PKDD (6), 2023)

A framework for safe decision making: A convex duality approach. - Martino Bernasconi; Federico Cacciamani; Matteo Castiglioni (Intelligenza Artificiale, 2023)

Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games. - Martino Bernasconi; Alberto Marchesi 001; Francesco Trovò (AISTATS, 2024)

Bandits with Replenishable Knapsacks: the Best of both Worlds. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Federico Fusco 001 (ICLR, 2024)

Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Federico Fusco 001 (NeurIPS, 2024)

Agent-Designed Contracts: How to Sell Hidden Actions. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli (EC, 2024)

Multi-Agent Contract Design beyond Binary Actions. - Federico Cacciamani; Martino Bernasconi; Matteo Castiglioni; Nicola Gatti 001 (EC, 2024)

No-Regret Learning in Bilateral Trade via Global Budget Balance. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Federico Fusco 001 (STOC, 2024)

Regret-Minimizing Contracts: Agency Under Uncertainty. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001 (CoRR, 2024)

No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli (CoRR, 2024)

On the Role of Constraints in the Complexity of Min-Max Optimization. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Gabriele Farina (CoRR, 2024)

Feature-Based Online Bilateral Trade. - Solenne Gaucher; Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Vianney Perchet (ICLR, 2025)

Online learning in sequential Bayesian persuasion: Handling unknown priors. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (Artif. Intell., 2025)

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information. - Maria-Florina Balcan; Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Keegan Harris; Zhiwei Steven Wu (CoRR, 2025)

Single-dimensional Contract Design: Efficient Algorithms and Learning. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli (CoRR, 2025)

Pure Exploration with Infinite Answers. - Riccardo Poiani; Martino Bernasconi; Andrea Celli (CoRR, 2025)

Non-Asymptotic Analysis of (Sticky) Track-and-Stop. - Riccardo Poiani; Martino Bernasconi; Andrea Celli (CoRR, 2025)

The Complexity of Correlated Equilibria in Generalized Games. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Gabriele Farina (CoRR, 2025)

Online Learning in the Random Order Model. - Martino Bernasconi; Andrea Celli; Riccardo Colini-Baldeschi; Federico Fusco 001; Stefano Leonardi 001; Matteo Russo 002 (CoRR, 2025)