Speakers

Santiago Mazuelas is currently an Ikerbasque Research Associate at the Basque Center for Applied Mathematics (BCAM). Prior to joining BCAM, he was a Staff Engineer at Qualcomm R&D from 2014 to 2017, and Postdoctoral Associate in the Laboratory for Information and Decision Systems (LIDS) at the Massachusetts Institute of Technology (MIT) from 2009 to 2014. He is currently Area Chair for the International Conference on Machine Learning (ICML), and associate Editor for two IEEE Transactions. Dr. Mazuelas has received several awards including the Early Achievement Award from the IEEE ComSoc, the IEEE Communications Society Fred W. Ellersick Prize, and the SEIO-FBBVA Best Applied Contribution in the Statistics Field.
 

Abstract:

The course will provide a basic introduction to the mathematics of machine learning with a focus on fairness considerations. The initial day of the course will introduce the main framework for supervised learning and some of the main theoretical results together with common mathematical tools.