Cesa Bianchi Nicolo' Antonio
Full professor
SSD
INF/01 - INFORMATICS
Competition sector
01/B1 - INFORMATICS
Research fields and competencies
Contacts
Workplace
Office phone number
University email address
Web site
Teaching - Programme courses
Bachelors and masters
A.Y. 2021/2022
A.Y. 2020/2021
A.Y. 2019/2020
A.y. 2018/2019
Postgraduate programmes
A.Y. 2019/2020
Doctoral programme (PhD)
Research
Publications
Publications
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Cooperative Online Learning: Keeping your Neighbors Updated / N. Cesa-Bianchi, T. Cesari, C. Monteleoni (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: Algorithmic Learning Theory / [a cura di] A. Kontorovich, G. Neu. - [s.l] : PMLR, 2020. - pp. 234-250 (( Intervento presentato al 31. convegno International Conference on Algorithmic Learning Theory tenutosi a San Diego nel 2020.
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Stochastic Bandits with Delay-Dependent Payoffs / L. Cella, N. Cesa Bianchi - In: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics / [a cura di] S. Chiappa, R. Calandra. - [s.l] : PMLR, 2020. - pp. 1168-1177
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Exact Recovery of Mangled Clusters with Same-Cluster Queries / M. Bressan, N. Cesa Bianchi, S. Lattanzi, A. Paudice - In: Advances in Neural Information Processing Systems / [a cura di] H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, H. Lin. - [s.l] : Curran Associates, 2020. - pp. 9324-9334 (( Intervento presentato al 34. convegno Conference on Neural Information Processing Systems (NeurIPS 2020) tenutosi a Vancouver nel 2020.
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Locally-Adaptive Nonparametric Online Learning / I. Kuzborskij, N. Cesa Bianchi - In: Advances in Neural Information Processing Systems / [a cura di] H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, H. Lin. - [s.l] : Curran Associates, 2020. - pp. 1679-1689 (( Intervento presentato al 34. convegno Conference on Neural Information Processing Systems (NeurIPS 2020) tenutosi a Vancouver nel 2020.
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Efficient Linear Bandits through Matrix Sketching / I. Kuzborskij, L. Cella, N. Cesa-Bianchi (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: International Conference on Artificial Intelligence and Statistics / [a cura di] K. Chaudhuri, M. Sugiyama. - [s.l] : PMLR, 2019. - pp. 177-185 (( Intervento presentato al 22. convegno International Conference on Artificial Intelligence and Statistics nel 2019.