[Statlist] Research Webinar in Statistics *FRIDAY 22 OCTOBER 2021* GSEM, University of Geneva

[gsem-support-instituts]

Dear All,

We are pleased to invite you to our next Research Webinar.

Looking forward to seeing you


Organizers :                                                                                   
E. Cantoni - S. Engelke - D. La Vecchia - E. Ronchetti
S. Sperlich - F. Trojani - M.-P. Victoria-Feser


FRIDAY 22 OCTOBER 2021 at 11:15am
ONLINE
Zoom research webinar: https://unige.zoom.us/j/92924332087?pwd=U1U1NFk4dTFCRHBMeWYrSDBQcXBiQT09
Meeting ID: 929 2433 2087
Passcode: 399192


Sparse Deep Learning
Johannes LEDERER (https://johanneslederer.com/), Ruhr-Universität Bochum, Germany

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.


Visit the website: https://www.unige.ch/gsem/en/research/seminars/rcs/