Alberto Marchesi

34 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (6) 🗺️ Taxonomy Completionist (21) 🏆 Keyword Champion (3) 🤝 Dynamic Duo (32) 👑 Triple Crown 🔬 Deep Specialist (17) 🏆 Grand Slam 💎 Century Club (34) 🔥 Unstoppable (9) ⚡ Prolific Year (6) 🚀 Conference Pioneer 🗃️ Keyword Collector (102)

Conferences

ICML (8) IJCAI (8) NIPS (8) AAAI (6) AISTATS (2) ICLR (2)

Top co-authors

Nicola Gatti (32) Matteo Castiglioni (23) Andrea Celli (8) Francesco Trovò (6) Giulia Romano (6) Martino Bernasconi (6) Francesco Bacchiocchi (5) Gabriele Farina (4) Francesco Emanuele Stradi (4) Federico Cacciamani (2)

Keywords

game theory (10) multi-agent system (7) online learning (7) extensive-form game (6) bayesian persuasion (5) nash equilibrium (5) mechanism design (5) regret bound (5) correlated equilibrium (5) equilibrium refinement (4) stackelberg equilibrium (4) signaling scheme (4) sequential game (4) stackelberg game (3) ad auction (3) multi-agent learning (3) no-regret learning (3) congestion game (3) polynomial time algorithm (2) regret minimization (2)

Papers

Contract Design Under Approximate Best Responses ICML 2025

Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints ICML 2025

The Sample Complexity of Stackelberg Games AISTATS 2025

Learning Adversarial MDPs with Stochastic Hard Constraints ICML 2025

Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization ICLR 2025

Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints ICML 2024

Online Bayesian Persuasion Without a Clue NIPS 2024

Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024

Learning Optimal Contracts: How to Exploit Small Action Spaces ICLR 2024

Persuading Farsighted Receivers in MDPs: the Power of Honesty NIPS 2023

Constrained Phi-Equilibria ICML 2023

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion ICML 2023

The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding IJCAI 2022

Sequential Information Design: Learning to Persuade in the Dark NIPS 2022

A Unifying Framework for Online Optimization with Long-Term Constraints NIPS 2022

Efficiency of Ad Auctions with Price Displaying AAAI 2022

Signaling in Posted Price Auctions AAAI 2022

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints ICML 2022

Public Signaling in Bayesian Ad Auctions IJCAI 2022

Multi-Receiver Online Bayesian Persuasion ICML 2021

Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021

Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry AAAI 2021

Trembling-Hand Perfection and Correlation in Sequential Games AAAI 2021

Exploiting Opponents Under Utility Constraints in Sequential Games NIPS 2021

Online Posted Pricing with Unknown Time-Discounted Valuations AAAI 2021

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium NIPS 2020

Online Bayesian Persuasion NIPS 2020

Learning to Correlate in Multi-Player General-Sum Sequential Games NIPS 2019

Quasi-Perfect Stackelberg Equilibrium AAAI 2019

Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders IJCAI 2019

Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions IJCAI 2019

Leadership in Singleton Congestion Games IJCAI 2018

Trembling-Hand Perfection in Extensive-Form Games with Commitment IJCAI 2018

Pessimistic Leader-Follower Equilibria with Multiple Followers IJCAI 2017