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 managementResearch Center for Statistics
Intervenant-e-s
Johannes LEDERER, Ruhr-Universität Bochum, Germanyentrée libre
Classement
Catégorie: Séminaire