Length: 10 hours - 2 cfu
Abstract:
Online learning, one of the leading paradigms of machine learning, has been applied to a large-scale training, reinforcement learning, recommendation systems, digital markets, game theory, and more. This course will introduce the fundamental online learning algorithms with full and partial feedback, describe the main techniques for their analysis, and derive rigorous bounds on their performance.
Dates & Venue
| Giorni | Aula | Orario |
| 17/11/25 | Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan | 10:30 - 12:30 / 14:30 - 16:30 |
| 18/11/25 | Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan | 10:30 - 12:30 / 14:30 - 16:30 |
| 19/11/25 | Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan | 10:30 - 12:30 |
Suggested Readings:
Lecturer:
Prof. Nicolò Cesa-Bianchi - Dipartimento di Informatica
Dr. Khaled Eldowa -
Dr. Andrew Jacobsen - Politecnico di Milano
Assessor:
Prof. Nicolò Cesa-Bianchi - Dipartimento di Informatica
Dr. Khaled Eldowa -
Dr. Andrew Jacobsen - Politecnico di Milano