Online Learning and Sequential Decision-Making
A.Y. 2025/2026
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Nicolo' Antonio Cesa Bianchi
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.
Analysis of algorithms. Calculus. Probability theory.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
By appointment
18, via Celoria. Room 7007