NextGen Synergy: Control Theory and Machine Learning

Session

SESSION IX

Apr 29, 2026, 10:50 AM

70. Online Learning in Digital Markets

Nicolò Cesa-Bianchi (University of Milan, Italy)

4/29/26, 10:50 AM

Invited Talk

Online learning explores algorithms that acquire knowledge sequentially, through repeated interactions with an unknown environment. The general goal is to understand how fast an agent can learn based on the information received from the environment. Digital markets, with their complex ecosystems of algorithmic agents, offer a rich landscape of sequential decision-making problems, characterized...

55. Recursive Estimation of ARX Model with Parameters Dependent on High-Dimensional Discrete-Valued Regressors

4/29/26, 11:50 AM

Machine Leaning for Control Theory

Accept as Oral presentation non-COST

29. A rigorous framework to certify predictions from physics-informed neural networks

4/29/26, 12:10 PM

Control Theory for Machine Learning

Accept as Oral presentation with Reimbursement