We are very happy to host Prof. Massimo Vergassola (Ecole Normale Supérieure, Paris) at the University of Rome Tor Vergata next month. Massimo will take a mini-course on decision-making and active learning from the 21st to the 24th of May.

The course will be divided into 3 sessions of 1.5 hours each, and the schedule is as follows

Lecture 1 (Tue 21th May, 14h30-16h00) AULA GRASSANO
Lecture 2 (Thu 23rd May, 15h30-17h00) AULA PAOLUZI
Lecture 3 (Friday 24th May, 14h30-16h00) AULA GRASSANO

Please find below more details. 
A mini-course on decision-making and active learning
Machine Learning has come of age and is found everywhere, in applications and basic sciences alike. While its practical successes are spectacular, understanding reasons (including for failure) are harder to cope with. It is therefore important to have a clear view of the fundamentals of the field to grasp its foundations and basic aspects. The scope of this mini-course is to provide such an introduction by stressing aspects related to active learning and decision-making before going to reinforcement learning. Examples from life sciences will illustrate various aspects of the problems.


Lecture 1. Active learning: definition and examples - 21st of May, 14h30-16h00

I shall provide examples of active learning, namely the identification of a boundary and the query-by-committee method and policies for effective actions in problems of multi-armed bandits. These are classic examples of decision-making in the presence of uncertainty with applications that run from experimental planning, economy, human behavior, and ethology.