| Online bayesian persuasion M Castiglioni, A Celli, A Marchesi, N Gatti Advances in neural information processing systems 33, 16188-16198, 2020 | 85 | 2020 |
| Signaling in bayesian network congestion games: the subtle power of symmetry M Castiglioni, A Celli, A Marchesi, N Gatti Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5252-5259, 2021 | 53 | 2021 |
| Multi-receiver online bayesian persuasion M Castiglioni, A Marchesi, A Celli, N Gatti International Conference on Machine Learning, 1314-1323, 2021 | 48 | 2021 |
| Designing menus of contracts efficiently: The power of randomization M Castiglioni, A Marchesi, N Gatti Proceedings of the 23rd ACM Conference on Economics and Computation, 705-735, 2022 | 45 | 2022 |
| Online learning with knapsacks: the best of both worlds M Castiglioni, A Celli, C Kroer International Conference on Machine Learning, 2767-2783, 2022 | 45 | 2022 |
| Bayesian agency: Linear versus tractable contracts M Castiglioni, A Marchesi, N Gatti Proceedings of the 22nd ACM Conference on Economics and Computation, 285-286, 2021 | 44 | 2021 |
| Persuading voters: It's easy to whisper, it's hard to speak loud M Castiglioni, A Celli, N Gatti Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1870-1877, 2020 | 38 | 2020 |
| A unifying framework for online optimization with long-term constraints M Castiglioni, A Celli, A Marchesi, G Romano, N Gatti Advances in Neural Information Processing Systems 35, 33589-33602, 2022 | 35 | 2022 |
| Election control in social networks via edge addition or removal M Castiglioni, D Ferraioli, N Gatti Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1878-1885, 2020 | 35 | 2020 |
| Sequential information design: Learning to persuade in the dark M Bernasconi, M Castiglioni, A Marchesi, N Gatti, F Trovò Advances in Neural Information Processing Systems 35, 15917-15928, 2022 | 32 | 2022 |
| Multi-agent contract design: How to commission multiple agents with individual outcomes M Castiglioni, A Marchesi, N Gatti Proceedings of the 24th ACM Conference on Economics and Computation, 412-448, 2023 | 25 | 2023 |
| Optimal rates and efficient algorithms for online bayesian persuasion M Bernasconi, M Castiglioni, A Celli, A Marchesi, F Trovò, N Gatti International Conference on Machine Learning, 2164-2183, 2023 | 25 | 2023 |
| Persuading Voters in District-based Elections M Castiglioni, N Gatti Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5244--5251, 2021 | 25 | 2021 |
| Leadership in singleton congestion games: What is hard and what is easy M Castiglioni, A Marchesi, N Gatti, S Coniglio Artificial Intelligence 277, 103177, 2019 | 23 | 2019 |
| Signaling in posted price auctions M Castiglioni, G Romano, A Marchesi, N Gatti Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 4941-4948, 2022 | 21 | 2022 |
| Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders. M Castiglioni, A Marchesi, N Gatti IJCAI, 123-129, 2019 | 19 | 2019 |
| Election manipulation on social networks: seeding, edge removal, edge addition M Castiglioni, D Ferraioli, N Gatti, G Landriani Journal of Artificial Intelligence Research 71, 1049-1090, 2021 | 18 | 2021 |
| Public bayesian persuasion: being almost optimal and almost persuasive M Castiglioni, A Celli, N Gatti Algorithmica 85 (9), 2885-2921, 2023 | 16 | 2023 |
| Safe learning in tree-form sequential decision making: Handling hard and soft constraints M Bernasconi, F Cacciamani, M Castiglioni, A Marchesi, N Gatti, F Trovò International Conference on Machine Learning, 1854-1873, 2022 | 15 | 2022 |
| Bayesian persuasion meets mechanism design: Going beyond intractability with type reporting M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2202.00605, 2022 | 15 | 2022 |
Nicola GattiPolitecnico di MilanoPatvirtintas el. paštas elet.polimi.it
