Andrea Celli

Orcid: 0000-0002-2046-4019

According to our database1, Andrea Celli authored at least 49 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Online Learning with Sublinear Best-Action Queries.
CoRR, 2024

Feature-Based Online Bilateral Trade.
CoRR, 2024

Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints.
CoRR, 2024

No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization.
CoRR, 2024

Agent-Designed Contracts: How to Sell Hidden Actions.
CoRR, 2024

No-Regret Learning in Bilateral Trade via Global Budget Balance.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Online Learning under Budget and ROI Constraints via Weak Adaptivity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bandits with Replenishable Knapsacks: the Best of both Worlds.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive.
Algorithmica, September, 2023

Steering No-Regret Learners to Optimal Equilibria.
CoRR, 2023

Online Bidding in Repeated Non-Truthful Auctions under Budget and ROI Constraints.
CoRR, 2023

Regret minimization in online Bayesian persuasion: Handling adversarial receiver's types under full and partial feedback models.
Artif. Intell., 2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion.
Proceedings of the International Conference on Machine Learning, 2023

Fully Dynamic Online Selection through Online Contention Resolution Schemes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium.
J. ACM, 2022

The Parity Ray Regularizer for Pacing in Auction Markets.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

A Unifying Framework for Online Optimization with Long-Term Constraints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Online Learning with Knapsacks: the Best of Both Worlds.
Proceedings of the International Conference on Machine Learning, 2022

2021
Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required.
CoRR, 2021

Learning Fair Equilibria in Sponsored Search Auctions.
CoRR, 2021

Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Receiver Online Bayesian Persuasion.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Coordination and correlation in multi-player sequential games.
PhD thesis, 2020

Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games.
CoRR, 2020

No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria.
CoRR, 2020

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Bayesian Persuasion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Private Bayesian Persuasion with Sequential Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning.
CoRR, 2019

Bayesian Persuasion with Sequential Games.
CoRR, 2019

Computing Optimal Coarse Correlated Equilibria in Sequential Games.
CoRR, 2019

Learning to Correlate in Multi-Player General-Sum Sequential Games.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Personality-Based Representations of Imperfect-Recall Games.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Computing Optimal Ex Ante Correlated Equilibria in Two-Player Sequential Games.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Learning dynamics in limited-control repeated games.
Intelligenza Artificiale, 2018

Ex ante coordination and collusion in zero-sum multi-player extensive-form games.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Computational Results for Extensive-Form Adversarial Team Games.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Computing the Team-maxmin Equilibrium in Single-Team Single-Adversary Team Games.
Intelligenza Artificiale, 2017

On the Complexity of Nash Equilibrium Reoptimization.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Coordinating Multiple Defensive Resources in Patrolling Games with Alarm Systems.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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