ONLINE - Sparse Deep Learning

22.10.2021 11:15 – 12:15

RESEARCH CENTER FOR STATISTICS SEMINAR / ABSTRACT

Sparsity is popular in statistics and machine learning, because it can avoid overfitting, speed up computations, and facilitate interpretations. In deep learning, however, the full potential of sparsity still needs to be explored. In this presentation, we first discuss sparsity in the framework of high-dimensional statistics and corresponding statistical theories. We then use these insights to further our understanding of sparsity in deep learning.

Lieu

Online

Organisé par

Faculté d'économie et de management
Research Center for Statistics

Intervenant-e-s

Johannes LEDERER, Ruhr-Universität Bochum, Germany

entrée libre

Classement

Catégorie: Séminaire

Plus d'infos

www.unige.ch/gsem/en/research/seminars/rcs/

Contact: missing email