Giulia Clerici
Ph.D. candidate in Machine Learning
About me
I am a second year Ph.D. candidate in Computer Science at Università degli Studi di Milano. My research interests focus on Machine Learning and Multiarmed Bandits. More specifically, I am currently working on Non-Stationary Stochastic Bandits and Linear Bandits. I am supervised by Prof. Nicolò Cesa-Bianchi.
News
I have been selected as Breakout Program and Logistics co-chair for the Women in Machine Learning (WiML) @ ICML 2022! Find out more on the website of the event.
Our paper has been accepted at AISTATS 2022! A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits. Authors: Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach.
Find more about my role of teaching assistant for the course Statistical Methods for Machine Learning teached by Prof. Nicolò Cesa-Bianchi.
