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Conference and Workshop Papers
- 2024
[c4]Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli:
Autoregressive Bandits. AISTATS 2024: 937-945- [c3]Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Learning Optimal Contracts: How to Exploit Small Action Spaces. ICLR 2024 - [c2]Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti:
Online Learning with Off-Policy Feedback in Adversarial MDPs. IJCAI 2024: 3697-3705 - 2022
- [c1]Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Public Signaling in Bayesian Ad Auctions. IJCAI 2022: 39-45
Informal and Other Publications
- 2024
- [i6]Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Markov Persuasion Processes: Learning to Persuade from Scratch. CoRR abs/2402.03077 (2024) - [i5]Francesco Bacchiocchi, Matteo Bollini, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
The Sample Complexity of Stackelberg Games. CoRR abs/2405.06977 (2024) - 2023
- [i4]Matteo Castiglioni, Francesco Bacchiocchi, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Selling Information while Being an Interested Party. CoRR abs/2301.13790 (2023) - [i3]Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Learning Optimal Contracts: How to Exploit Small Action Spaces. CoRR abs/2309.09801 (2023) - 2022
- [i2]Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Public Signaling in Bayesian Ad Auctions. CoRR abs/2201.09728 (2022) - [i1]Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli:
Autoregressive Bandits. CoRR abs/2212.06251 (2022)
Coauthor Index
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