Computation and Statistics in Data science

September 30 - October 4, 2019
University Residential Center
Bertinoro (Forlì-Cesena), Italy

Current approaches to learning from data often focus on one of two different point of views: the computational point of view, typical of data mining, which assumes that the data is the complete representation of a process/system; and the inferential point of view, typical of statistics, which considers the data as a partial and noisy collection of measurements of the underlying process/system. While these two points of view are deeply related, their integration is still not fully realized in current methods for learning from data.

This workshop brings together researchers from the areas of data mining, statistical learning, statistics, and theoretical computer science to share recent advances and work in progress on the computational and statistical aspects of learning from data.