フォロー
Matteo Castiglioni
Matteo Castiglioni
Assistant Professor, Politecnico di Milano
確認したメール アドレス: polimi.it - ホームページ
タイトル
引用先
引用先
Online bayesian persuasion
M Castiglioni, A Celli, A Marchesi, N Gatti
Advances in Neural Information Processing Systems 33, 16188-16198, 2020
622020
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
382021
Multi-receiver online bayesian persuasion
M Castiglioni, A Marchesi, A Celli, N Gatti
International Conference on Machine Learning, 1314-1323, 2021
342021
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
312020
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
312020
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
292021
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
282022
Online learning with knapsacks: the best of both worlds
M Castiglioni, A Celli, C Kroer
International Conference on Machine Learning, 2767-2783, 2022
232022
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
222019
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
202022
Persuading Voters in District-based Elections
M Castiglioni, N Gatti
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5244--5251, 2021
202021
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
182019
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
162022
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
162022
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions.
A Marchesi, M Castiglioni, N Gatti
IJCAI, 485-491, 2019
152019
Public bayesian persuasion: being almost optimal and almost persuasive
M Castiglioni, A Celli, N Gatti
Algorithmica 85 (9), 2885-2921, 2023
122023
Public signaling in bayesian ad auctions
F Bacchiocchi, M Castiglioni, A Marchesi, G Romano, N Gatti
arXiv preprint arXiv:2201.09728, 2022
112022
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
102023
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
102023
Bayesian persuasion meets mechanism design: Going beyond intractability with type reporting
M Castiglioni, A Marchesi, N Gatti
arXiv preprint arXiv:2202.00605, 2022
102022
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