Alberto Marchesi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 77

Top Topics

Congestion Games

Marginal Utility

Nash Equilibrium

Top Venues

Publications

Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Markov Persuasion Processes: Learning to Persuade from Scratch. CoRR (2024)
Silvia Cascianelli, Gaia Ceddia, Alberto Marchesi, Marco Masseroli
Identification of transcription factor high accumulation DNA zones. BMC Bioinform. 24 (1) (2023)
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Learning Optimal Contracts: How to Exploit Small Action Spaces. CoRR (2023)
Matteo Castiglioni, Francesco Bacchiocchi, Alberto Marchesi, Giulia Romano, Nicola Gatti
Selling Information while Being an Interested Party. CoRR (2023)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Designing menus of contracts efficiently: The power of randomization. Artif. Intell. 318 (2023)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcome. CoRR (2023)
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
Regret minimization in online Bayesian persuasion: Handling adversarial receiver's types under full and partial feedback models. Artif. Intell. 314 (2023)
Jacopo Germano, Francesco Emanuele Stradi, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints. CoRR (2023)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti
Constrained Phi-Equilibria. ICML (2023)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti
Persuading Farsighted Receivers in MDPs: the Power of Honesty. CoRR (2023)
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. ICML (2023)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti
Constrained Phi-Equilibria. CoRR (2023)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcomes. EC (2023)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti
Persuading Farsighted Receivers in MDPs: the Power of Honesty. NeurIPS (2023)
Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti
Increasing revenue in Bayesian posted price auctions through signaling. Artif. Intell. 323 (2023)
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. CoRR (2023)
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)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Sequential Information Design: Learning to Persuade in the Dark. NeurIPS (2022)
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti
A Unifying Framework for Online Optimization with Long-Term Constraints. NeurIPS (2022)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Designing Menus of Contracts Efficiently: The Power of Randomization. EC (2022)
Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding. CoRR (2022)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Bayesian agency: Linear versus tractable contracts. Artif. Intell. 307 (2022)
Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti
Signaling in Posted Price Auctions. CoRR (2022)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Sequential Information Design: Learning to Persuade in the Dark. CoRR (2022)
Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding. IJCAI (2022)
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti
A Unifying Framework for Online Optimization with Long-Term Constraints. CoRR (2022)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting. CoRR (2022)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Designing Menus of Contracts Efficiently: The Power of Randomization. CoRR (2022)
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti
Public Signaling in Bayesian Ad Auctions. IJCAI (2022)
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti
Public Signaling in Bayesian Ad Auctions. CoRR (2022)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting. AAMAS (2022)
Martino Bernasconi, Alberto Marchesi, Francesco Trovò
Last-iterate Convergence to Trembling-hand Perfect Equilibria. CoRR (2022)
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano
Efficiency of Ad Auctions with Price Displaying. AAAI (2022)
Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium. J. ACM 69 (6) (2022)
Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti
Signaling in Posted Price Auctions. AAAI (2022)
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano
Efficiency of Ad Auctions with Price Displaying. CoRR (2022)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Bayesian Agency: Linear versus Tractable Contracts. EC (2021)
Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti
Multi-Receiver Online Bayesian Persuasion. CoRR (2021)
Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. CoRR (2021)
Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti
Multi-Receiver Online Bayesian Persuasion. ICML (2021)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Bayesian Agency: Linear versus Tractable Contracts. CoRR (2021)
Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS (2021)
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. AAAI (2021)
Giulia Romano, Gianluca Tartaglia, Alberto Marchesi, Nicola Gatti
Online Posted Pricing with Unknown Time-Discounted Valuations. AAAI (2021)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract). IJCAI (2021)
Alberto Marchesi, Nicola Gatti
Trembling-Hand Perfection and Correlation in Sequential Games. AAAI (2021)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Committing to correlated strategies with multiple leaders. Artif. Intell. 300 (2021)
Alberto Marchesi, Nicola Gatti
Trembling-Hand Perfection and Correlation in Sequential Games. CoRR (2020)
Nicola Gatti, Mario Gilli, Alberto Marchesi
A characterization of quasi-perfect equilibria. Games Econ. Behav. 122 (2020)
Stefano Coniglio, Nicola Gatti, Alberto Marchesi
Computing a Pessimistic Stackelberg Equilibrium with Multiple Followers: The Mixed-Pure Case. Algorithmica 82 (5) (2020)
Giulia Romano, Gianluca Tartaglia, Alberto Marchesi, Nicola Gatti
Online Posted Pricing with Unknown Time-Discounted Valuations. CoRR (2020)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. NeurIPS (2020)
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. CoRR (2020)
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti
Online Bayesian Persuasion. NeurIPS (2020)
Alberto Marchesi, Francesco Trovò, Nicola Gatti
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. AAMAS (2020)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. CoRR (2020)
Nicola Basilico, Stefano Coniglio, Nicola Gatti, Alberto Marchesi
Bilevel programming methods for computing single-leader-multi-follower equilibria in normal-form and polymatrix games. EURO J. Comput. Optim. 8 (1) (2020)
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Quasi-Perfect Stackelberg Equilibrium. AAAI (2019)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Stefano Coniglio
Leadership in singleton congestion games: What is hard and what is easy. Artif. Intell. 277 (2019)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders (Extended Version). CoRR (2019)
Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti
Learning to Correlate in Multi-Player General-Sum Sequential Games. NeurIPS (2019)
Alberto Marchesi, Matteo Castiglioni, Nicola Gatti
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions. IJCAI (2019)
Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti
Learning to Correlate in Multi-Player General-Sum Sequential Games. CoRR (2019)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders. IJCAI (2019)
Alberto Marchesi, Matteo Castiglioni, Nicola Gatti
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions (Extended Version). CoRR (2019)
Alberto Marchesi, Francesco Trovò, Nicola Gatti
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. CoRR (2019)
Andrea Celli, Alberto Marchesi
Learning dynamics in limited-control repeated games. Intelligenza Artificiale 12 (2) (2018)
Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti
Computing the Strategy to Commit to in Polymatrix Games. AAAI (2018)
Alberto Marchesi, Stefano Coniglio, Nicola Gatti
Leadership in Singleton Congestion Games. IJCAI (2018)
Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti
Computing the Strategy to Commit to in Polymatrix Games (Extended Version). CoRR (2018)
Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Trembling-Hand Perfection in Extensive-Form Games with Commitment. IJCAI (2018)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Stefano Coniglio
Leadership in Singleton Congestion Games: What is Hard and What is Easy. CoRR (2018)
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Quasi-Perfect Stackelberg Equilibrium. CoRR (2018)
Stefano Coniglio, Nicola Gatti, Alberto Marchesi
Computing a Pessimistic Leader-Follower Equilibrium with Multiple Followers: the Mixed-Pure Case. CoRR (2018)
Andrea Celli, Alberto Marchesi, Nicola Gatti
On the Complexity of Nash Equilibrium Reoptimization. UAI (2017)
Stefano Coniglio, Nicola Gatti, Alberto Marchesi
Pessimistic Leader-Follower Equilibria with Multiple Followers. IJCAI (2017)
Nicola Basilico, Stefano Coniglio, Nicola Gatti, Alberto Marchesi
Bilevel Programming Approaches to the Computation of Optimistic and Pessimistic Single-Leader-Multi-Follower Equilibria. SEA (2017)