Francisco Daunas
PhD candidate
Department of Automatic Control and Systems Engineering
Sheffield, South Yorkshire, UK
Advised by: Dr. Iñaki Esnaola
Member of NEO
INRIA Centre at Université Côte d’Azur
Sophia Antipolis, France.
Advised by: Dr. Samir M. Perlaza
Visiting Student Research Collaborator
Department of Electrical and Computer Engineering
Princeton, NJ, USA 08544
Advised by: Professor H. Vincent Poor
Contact
University of SheffieldMappin St, Sheffield City Centre, Sheffield S1 4DTSir Henry Stephenson Building, room 305jdaunastorres1@sheffield.ac.uk, jose-francisco.daunas-torres@inria.fr , jd1893@princeton.eduResearch Interests
My research focuses on understanding the implications of the use of incomplete information in PAC learning. The surge of applications in which machine learning (ML) provides the technological backbone has propelled the technology to the forefront of research. By analyzing the impact of incomplete information, my research aims to deepen our understanding of the fundamental limits of attainable generalization via regularization in supervised learning settings.