Federico Tomasi

PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data

2016

The main goal of supervised data analytics is to model a target phenomenon given a limited amount of samples, each represented by an arbitrarily large number of variables. Especially when the number of variables is …

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

2023

Personalization of playlists is a common feature in music streaming services, but conventional techniques, such as collaborative filtering, rely on explicit assumptions regarding content quality to learn how to make recommendations. Such assumptions often result …