PhD Courses of interest for AIROYoungers

From: 07 Jun 2021
To: 10 Jun 2021
University of Florence, online
Prof Emilio Carrizosa has been invited to offer a PhD course on Optimization and Machine Learning within the PhD program in Information engineering , Univ of Florence. The course will be held on line from Monday June 7th to Thursday June 10, from 16.00 to 18.00 CEST. Interested PhD students can send me an email in order to get access to the lectures.

Mathematical Optimization is at the core of many Machine Learning problems in classification, regression and dimensionality reduction, amon others. An important challenge is to make classification and prediction algorithms more interpretable, in the sense that we should know which attributes, and at which extent, contribute in the prediction.
Mathematical Optimization allows us to pose in a natural way the multiobjective problem of optimizing the performance and, at the same time, the number of attributes or measurement costs.

In this course we will illustrate the use of Mathematical Optimization strategies in different problems, such as dimensionality reduction (sparse PCA), sparse linear models with performance constraints, cost-sensitive Support Vector Machines with performance constraints or functional data, sparse classification and regression (ensembles of) trees, interpretable clustering, etc., with special focus on the methods developed by the research group in Optimization in IMUS, the Institute of Mathematics of the University of Seville