Publications

Working papers

• [arXiv 2021] Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
  Gabriele Farina, Andrea Celli, Alberto Marchesi, and Nicola Gatti

• [arXiv 2020] Public bayesian persuasion: being almost optimal and almost persuasive
  Matteo Castiglioni, Andrea Celli, and Nicola Gatti

Conference papers

• [ICML 2022] Online Learning with Knapsacks: the Best of Both Worlds (Accepted for publication)
  Matteo Castiglioni, Andrea Celli, and Christian Kroer

• [EC 2022] Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation (Accepted for publication)
  Brian Zhang, Gabriele Farina, Andrea Celli, and Tuomas Sandholm

• [EC 2022] Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria (Accepted for publication)
  Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, and Tuomas Sandholm

• [IJCAI 2022] Fair Equilibria in Sponsored Search Auctions: the Advertisers’ Perspective (Accepted for publication)
  Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, and Stefano Leonardi

• [TheWebConf 2022] The parity ray regularizer for pacing in auction markets
  Andrea Celli, Riccardo Colini-Baldeschi, Christian Kroer, and Eric Sodomka

• [ICML 2021] Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
  Gabriele Farina, Andrea Celli, Nicola Gatti, and Tuomas Sandholm

• [ICML 2021] Multi-Receiver Online Bayesian Persuasion
  Matteo Castiglioni, Alberto Marchesi, Andrea Celli, and Nicola Gatti

• [AAAI 2021] Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
  Matteo Castiglioni, Andrea Celli, Alberto Marchesi, and Nicola Gatti

• [AAMAS 2021] Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
  Federico Cacciamani, Andrea Celli, Marco Ciccone, and Nicola Gatti

• [NeurIPS 2020 Oral presentation and best paper award] No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
  Andrea Celli, Alberto Marchesi, Gabriele Farina, and Nicola Gatti

• [NeurIPS 2020 Spotlight presentation] Online Bayesian Persuasion
  Matteo Castiglioni, Andrea Celli, Alberto Marchesi, and Nicola Gatti

• [AAAI 2020] Private Bayesian Persuasion with Sequential Games
  Andrea Celli, Stefano Coniglio, and Nicola Gatti

• [AAAI 2020] Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud
  Matteo Castiglioni, Andrea Celli, and Nicola Gatti

• [NeurIPS 2019] Learning to Correlate in Multi-Player General-Sum Sequential Games
  Andrea Celli, Alberto Marchesi, Tommaso Bianchi, and Nicola Gatti

• [AAMAS 2019] Computing Optimal Ex Ante Correlated Equilibria in Two-Player Sequential Games
  Andrea Celli, Stefano Coniglio, and Nicola Gatti

• [AAMAS 2019] Personality-Based Representations of Imperfect-Recall Games (Extended abstract)
  Andrea Celli, Giulia Romano, and Nicola Gatti

• [NeurIPS 2018] Ex Ante Coordination and Collusion in Zero-Sum Multi-Player Extensive-Form Games
  Gabriele Farina, Andrea Celli, Nicola Gatti, and Tuomas Sandholm

• [AAAI 2018] Computational Results for Extensive-Form Adversarial Team Games
  Andrea Celli, and Nicola Gatti

• [UAI 2017] On the Complexity of Nash Equilibrium Reoptimization
  Andrea Celli, Alberto Marchesi, and Nicola Gatti

• [AAAI 2017] Team-maxmin equilibrium: efficiency bounds and algorithms
  Nicola Basilico, Andrea Celli, Giuseppe De Nittis, and Nicola Gatti

• [AAMAS 2017] Coordinating multiple defensive resources in patrolling games with alarm systems
  Nicola Basilico, Andrea Celli, Giuseppe De Nittis, and Nicola Gatti

Journal papers

• [Under review 2021] Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
  Gabriele Farina, Andrea Celli, Alberto Marchesi, and Nicola Gatti

• [Under review 2021] Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive
  Matteo Castiglioni, Andrea Celli, and Nicola Gatti

• [Intelligenza Artificiale 2018] Learning Dynamics in Limited-Control Repeated Games
  Andrea Celli, and Alberto Marchesi

• [Intelligenza Artificiale 2017] Computing the Team–maxmin Equilibrium in Single–Team Single–Adversary Team Games
  Nicola Basilico, Andrea Celli, Giuseppe De Nittis, and Nicola Gatti