Dottorato in Intelligenza Artificiale , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
Adversarial Bandits and which Leader to Follow (Abstract)
Tutori:
Nicolo' Antonio Cesa-bianchiGergely NeuPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Zierahn, Lukas (2025)
Adversarial Bandits and which Leader to Follow. relatore: CESA-BIANCHI, NICOLO' ANTONIO; NEU, GERGELY; , 37. XXXVII Ciclo, P.: 176
Doctoral Thesis - Zierahn, L.; van der Hoeven, D.; Cesa-Bianchi, N.; Neu, G. (2023)
Nonstochastic Contextual Combinatorial Bandits. In: 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, Valencia (ESP), 25-27 April 2023, pp. 8771-8813. ISSN 2640-3498
Contributo in Atti di Convegno (Proceeding) - Zierahn, Lukas; Van Der Hoeven, Dirk; Lancewicki, Tal; Rosenberg, Aviv; Cesa-Bianchi, ... (2023)
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. In: The Thirty Sixth Annual Conference on Learning Theory, Bangalore (IND), 12-15 July 2023, pp. 1-37. ISSN 1532-4435
Contributo in Atti di Convegno (Proceeding) - van der Hoeven, Dirk; Zierahn, Lukas; Lancewicki, Tal; Rosenberg, Aviv; Cesa-Bianchi, ... (2023)
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. In: The Thirty Sixth Annual Conference on Learning Theory, Bangalore, India, 12-15 July 2023, pp. 1285-1321. ISSN 2640-3498
Contributo in Atti di Convegno (Proceeding)