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Andrea Celli
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2020 – today
- 2024
- [c31]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Bandits with Replenishable Knapsacks: the Best of both Worlds. ICLR 2024 - [c30]Matteo Castiglioni, Andrea Celli, Christian Kroer:
Online Learning under Budget and ROI Constraints via Weak Adaptivity. ICML 2024 - [c29]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Steering No-Regret Learners to a Desired Equilibrium. EC 2024: 73-74 - [c28]Martino Bernasconi, Matteo Castiglioni, Andrea Celli:
Agent-Designed Contracts: How to Sell Hidden Actions. EC 2024: 312 - [c27]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
No-Regret Learning in Bilateral Trade via Global Budget Balance. STOC 2024: 247-258 - [i34]Martino Bernasconi, Matteo Castiglioni, Andrea Celli:
Agent-Designed Contracts: How to Sell Hidden Actions. CoRR abs/2402.16547 (2024) - [i33]Martino Bernasconi, Matteo Castiglioni, Andrea Celli:
No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization. CoRR abs/2405.06575 (2024) - [i32]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints. CoRR abs/2405.16118 (2024) - [i31]Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet:
Feature-Based Online Bilateral Trade. CoRR abs/2405.18183 (2024) - [i30]Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax:
Online Learning with Sublinear Best-Action Queries. CoRR abs/2407.16355 (2024) - [i29]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Gabriele Farina:
On the Role of Constraints in the Complexity of Min-Max Optimization. CoRR abs/2411.03248 (2024) - 2023
- [j5]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: 103821 (2023) - [j4]Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive. Algorithmica 85(9): 2885-2921 (2023) - [c26]Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo:
Fully Dynamic Online Selection through Online Contention Resolution Schemes. AAAI 2023: 6693-6700 - [c25]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 - [c24]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS 2023 - [i28]Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo:
Fully Dynamic Online Selection through Online Contention Resolution Schemes. CoRR abs/2301.03099 (2023) - [i27]Matteo Castiglioni, Andrea Celli, Christian Kroer:
Online Bidding in Repeated Non-Truthful Auctions under Budget and ROI Constraints. CoRR abs/2302.01203 (2023) - [i26]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) - [i25]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR abs/2306.05216 (2023) - [i24]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Steering No-Regret Learners to Optimal Equilibria. CoRR abs/2306.05221 (2023) - [i23]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Bandits with Replenishable Knapsacks: the Best of both Worlds. CoRR abs/2306.08470 (2023) - [i22]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
No-Regret Learning in Bilateral Trade via Global Budget Balance. CoRR abs/2310.12370 (2023) - 2022
- [j3]Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium. J. ACM 69(6): 41:1-41:41 (2022) - [c23]Matteo Castiglioni, Andrea Celli, Christian Kroer:
Online Learning with Knapsacks: the Best of Both Worlds. ICML 2022: 2767-2783 - [c22]Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi:
Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective. IJCAI 2022: 95-101 - [c21]Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti:
A Unifying Framework for Online Optimization with Long-Term Constraints. NeurIPS 2022 - [c20]Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm:
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. EC 2022: 915-916 - [c19]Brian Hu Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm:
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. EC 2022: 1119-1120 - [c18]Andrea Celli, Riccardo Colini-Baldeschi, Christian Kroer, Eric Sodomka:
The Parity Ray Regularizer for Pacing in Auction Markets. WWW 2022: 162-172 - [i21]Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm:
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. CoRR abs/2202.05446 (2022) - [i20]Matteo Castiglioni, Andrea Celli, Christian Kroer:
Online Learning with Knapsacks: the Best of Both Worlds. CoRR abs/2202.13710 (2022) - [i19]Brian Hu Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm:
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. CoRR abs/2203.07181 (2022) - [i18]Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti:
A Unifying Framework for Online Optimization with Long-Term Constraints. CoRR abs/2209.07454 (2022) - 2021
- [c17]Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. AAAI 2021: 5252-5259 - [c16]Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. AAMAS 2021: 269-278 - [c15]Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti:
Multi-Receiver Online Bayesian Persuasion. ICML 2021: 1314-1323 - [c14]Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm:
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results. ICML 2021: 3164-3173 - [c13]Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti:
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract). IJCAI 2021: 4755-4759 - [i17]Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. CoRR abs/2102.05026 (2021) - [i16]Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. CoRR abs/2104.01520 (2021) - [i15]Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti:
Multi-Receiver Online Bayesian Persuasion. CoRR abs/2106.06480 (2021) - [i14]Andrea Celli, Riccardo Colini-Baldeschi, Christian Kroer, Eric Sodomka:
The Parity Ray Regularizer for Pacing in Auction Markets. CoRR abs/2106.09503 (2021) - [i13]Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi:
Learning Fair Equilibria in Sponsored Search Auctions. CoRR abs/2107.08271 (2021) - [i12]Gabriele Farina, Andrea Celli, Tuomas Sandholm:
Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required. CoRR abs/2109.08138 (2021) - 2020
- [b1]Andrea Celli:
Coordination and correlation in multi-player sequential games. Polytechnic University of Milan, Italy, 2020 - [c12]Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. AAAI 2020: 1870-1877 - [c11]Andrea Celli, Stefano Coniglio, Nicola Gatti:
Private Bayesian Persuasion with Sequential Games. AAAI 2020: 1886-1893 - [c10]Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Online Bayesian Persuasion. NeurIPS 2020 - [c9]Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti:
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. NeurIPS 2020 - [i11]Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive. CoRR abs/2002.05156 (2020) - [i10]Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. CoRR abs/2002.05190 (2020) - [i9]Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti:
No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. CoRR abs/2004.00603 (2020) - [i8]Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm:
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games. CoRR abs/2009.10061 (2020)
2010 – 2019
- 2019
- [c8]Andrea Celli, Stefano Coniglio, Nicola Gatti:
Computing Optimal Ex Ante Correlated Equilibria in Two-Player Sequential Games. AAMAS 2019: 909-917 - [c7]Andrea Celli, Giulia Romano, Nicola Gatti:
Personality-Based Representations of Imperfect-Recall Games. AAMAS 2019: 1868-1870 - [c6]Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti:
Learning to Correlate in Multi-Player General-Sum Sequential Games. NeurIPS 2019: 13055-13065 - [i7]Andrea Celli, Stefano Coniglio, Nicola Gatti:
Computing Optimal Coarse Correlated Equilibria in Sequential Games. CoRR abs/1901.06221 (2019) - [i6]Andrea Celli, Stefano Coniglio, Nicola Gatti:
Bayesian Persuasion with Sequential Games. CoRR abs/1908.00877 (2019) - [i5]Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud. CoRR abs/1908.10620 (2019) - [i4]Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti:
Learning to Correlate in Multi-Player General-Sum Sequential Games. CoRR abs/1910.06228 (2019) - [i3]Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti:
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning. CoRR abs/1912.07712 (2019) - 2018
- [j2]Andrea Celli, Alberto Marchesi:
Learning dynamics in limited-control repeated games. Intelligenza Artificiale 12(2): 89-101 (2018) - [c5]Andrea Celli, Nicola Gatti:
Computational Results for Extensive-Form Adversarial Team Games. AAAI 2018: 965-972 - [c4]Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm:
Ex ante coordination and collusion in zero-sum multi-player extensive-form games. NeurIPS 2018: 9661-9671 - 2017
- [j1]Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
Computing the Team-maxmin Equilibrium in Single-Team Single-Adversary Team Games. Intelligenza Artificiale 11(1): 67-79 (2017) - [c3]Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms. AAAI 2017: 356-362 - [c2]Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
Coordinating Multiple Defensive Resources in Patrolling Games with Alarm Systems. AAMAS 2017: 678-686 - [c1]Andrea Celli, Alberto Marchesi, Nicola Gatti:
On the Complexity of Nash Equilibrium Reoptimization. UAI 2017 - [i2]Andrea Celli, Nicola Gatti:
Computational Results for Extensive-Form Adversarial Team Games. CoRR abs/1711.06930 (2017) - 2016
- [i1]Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
Team-maxmin equilibrium: efficiency bounds and algorithms. CoRR abs/1611.06134 (2016)
Coauthor Index
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