← Authors

Nicola Gatti

54 papers · 2017–2025 · 8 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (7) πŸ† Grand Slam πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (32) πŸ”¬ Deep Specialist (24) πŸ’Ž Century Club (54) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (167) πŸ”₯ Unstoppable (9)

Conferences

AAAI (12) ICML (12) NIPS (12) IJCAI (11) ICLR (3) AISTATS (2) COLT (1) L4DC (1)

Top co-authors

Alberto Marchesi (32) Matteo Castiglioni (29) Andrea Celli (13) Gabriele Farina (9) Francesco Bacchiocchi (8) Federico Cacciamani (7) Francesco TrovΓ² (7) Tuomas Sandholm (7) Giulia Romano (7) Francesco Emanuele Stradi (7)

Keywords

game theory (14) online learning (13) multi-agent system (11) extensive-form game (9) regret bound (9) bayesian persuasion (7) mechanism design (7) correlated equilibrium (7) nash equilibrium (6) signaling scheme (6) computational complexity (4) no-regret learning (4) stackelberg equilibrium (4) regret minimization (4) sequential game (4) equilibrium refinement (4) zero-sum game (3) online algorithm (3) no-regret algorithm (3) multi-armed bandit (3)

Papers

The Sample Complexity of Stackelberg Games AISTATS 2025
Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints ICML 2025
Contract Design Under Approximate Best Responses ICML 2025
Automating the loop in traffic incident management on highway L4DC 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 with Off-Policy Feedback in Adversarial MDPs IJCAI 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints ICML 2024
Graph-Triggered Rising Bandits ICML 2024
Bandits with Ranking Feedback NIPS 2024
Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024
Autoregressive Bandits AISTATS 2024
(Ξ΅, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024
Learning Optimal Contracts: How to Exploit Small Action Spaces ICLR 2024
Enhancing Manufacturing with AI-powered Process Design IJCAI 2024
Online Information Acquisition: Hiring Multiple Agents ICLR 2024
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion ICML 2023
Online Mechanism Design for Information Acquisition ICML 2023
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games NIPS 2023
Dynamic Pricing with Volume Discounts in Online Settings AAAI 2023
Constrained Phi-Equilibria ICML 2023
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving ICML 2022
Sequential Information Design: Learning to Persuade in the Dark NIPS 2022
Subgame Solving in Adversarial Team Games 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
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding IJCAI 2022
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022
Exploiting Opponents Under Utility Constraints in Sequential Games NIPS 2021
Online Posted Pricing with Unknown Time-Discounted Valuations AAAI 2021
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results ICML 2021
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry AAAI 2021
Persuading Voters in District-based Elections AAAI 2021
Trembling-Hand Perfection and Correlation in Sequential Games AAAI 2021
Multi-Receiver Online Bayesian Persuasion ICML 2021
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium NIPS 2020
Private Bayesian Persuasion with Sequential Games AAAI 2020
Election Control in Social Networks via Edge Addition or Removal AAAI 2020
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud AAAI 2020
Online Bayesian Persuasion NIPS 2020
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
Quasi-Perfect Stackelberg Equilibrium AAAI 2019
Learning to Correlate in Multi-Player General-Sum Sequential Games NIPS 2019
Trembling-Hand Perfection in Extensive-Form Games with Commitment IJCAI 2018
Ex ante coordination and collusion in zero-sum multi-player extensive-form games NIPS 2018
Practical exact algorithm for trembling-hand equilibrium refinements in games NIPS 2018
Leadership in Singleton Congestion Games IJCAI 2018
Pessimistic Leader-Follower Equilibria with Multiple Followers IJCAI 2017