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Martino Bernasconi
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2020 – today
- 2025
- [j3]Martino Bernasconi
, Matteo Castiglioni
Online learning in sequential Bayesian persuasion: Handling unknown priors. Artif. Intell. 338: 104245 (2025) - [j2]Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò:
The evolutionary dynamics of soft-max policy gradient in multi-agent settings. Theor. Comput. Sci. 1027: 115011 (2025) - 2024
- [c16]Martino Bernasconi, Alberto Marchesi, Francesco Trovò:
Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games. AISTATS 2024: 2152-2160 - [c15]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Bandits with Replenishable Knapsacks: the Best of both Worlds. ICLR 2024 - [c14]Martino Bernasconi, Matteo Castiglioni, Andrea Celli:
Agent-Designed Contracts: How to Sell Hidden Actions. EC 2024: 312 - [c13]Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti:
Multi-Agent Contract Design beyond Binary Actions. EC 2024: 1293 - [c12]Martino Bernasconi
No-Regret Learning in Bilateral Trade via Global Budget Balance. STOC 2024: 247-258 - [i13]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi:
Regret-Minimizing Contracts: Agency Under Uncertainty. CoRR abs/2402.13156 (2024) - [i12]Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti:
Multi-Agent Contract Design beyond Binary Actions. CoRR abs/2402.13824 (2024) - [i11]Martino Bernasconi, Matteo Castiglioni, Andrea Celli:
Agent-Designed Contracts: How to Sell Hidden Actions. CoRR abs/2402.16547 (2024) - [i10]Martino Bernasconi, Matteo Castiglioni, Andrea Celli:
No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization. CoRR abs/2405.06575 (2024) - [i9]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints. CoRR abs/2405.16118 (2024) - [i8]Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet:
Feature-Based Online Bilateral Trade. CoRR abs/2405.18183 (2024) - 2023
- [j1]Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni:
A framework for safe decision making: A convex duality approach. Intelligenza Artificiale 17(2): 195-205 (2023) - [c11]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. ICML 2023: 2164-2183 - [c10]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Constrained Phi-Equilibria. ICML 2023: 2184-2205 - [c9]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti:
Persuading Farsighted Receivers in MDPs: the Power of Honesty. NeurIPS 2023 - [c8]Tommaso Paladini, Martino Bernasconi de Luca, Michele Carminati
Advancing Fraud Detection Systems Through Online Learning. ECML/PKDD (6) 2023: 275-292 - [i7]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Constrained Phi-Equilibria. CoRR abs/2301.13600 (2023) - [i6]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. CoRR abs/2303.01296 (2023) - [i5]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Bandits with Replenishable Knapsacks: the Best of both Worlds. CoRR abs/2306.08470 (2023) - [i4]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti:
Persuading Farsighted Receivers in MDPs: the Power of Honesty. CoRR abs/2306.12221 (2023) - [i3]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
No-Regret Learning in Bilateral Trade via Global Budget Balance. CoRR abs/2310.12370 (2023) - 2022
- [c7]Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò:
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. AAMAS 2022: 1545-1547 - [c6]Martino Bernasconi
Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach. ICAIF 2022: 352-360 - [c5]Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. ICML 2022: 1854-1873 - [c4]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Sequential Information Design: Learning to Persuade in the Dark. NeurIPS 2022 - [i2]Martino Bernasconi
Last-iterate Convergence to Trembling-hand Perfect Equilibria. CoRR abs/2208.08238 (2022) - [i1]Martino Bernasconi
Sequential Information Design: Learning to Persuade in the Dark. CoRR abs/2209.03927 (2022) - 2021
- [c3]Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò:
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS 2021: 13177-13188 - [c2]Martino Bernasconi de Luca
Conservative Online Convex Optimization. ECML/PKDD (1) 2021: 19-34 - 2020
- [c1]Edoardo Vittori
Dealing with transaction costs in portfolio optimization: online gradient descent with momentum. ICAIF 2020: 11:1-11:8
Coauthor Index
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