INFORMATION-THEORETIC LIMITS FOR DEEP NEURAL NETWORKS

Project Information

IT-DNN

Grant agreement ID: 893082

DOI 10.3030/893082

Project closed

EC signature date 23 March 2020

Start date 1 April 2020

End date 31 March 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 203 852,16

EU contribution € 203 852,16

Coordinated by

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

Publications

Conference proceedings (2)

A Unified View on PAC-Bayes Bounds for Meta-Learnin

Author(s): Arezou Rezazadeh
Published in: 39th International Conference on Machine Learning (ICML 2022), Issue 17-23 July 2022, 2022, Page(s) https://research.chalmers.se/en/publication/532756, ISSN 16218576-18595
Publisher: Proceedings of the 39 th International Conference on Machine Learning

Conditional Mutual Information-Based Generalization Bound for Meta Learning

Author(s): Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone
Published in: 2021 IEEE International Symposium on Information Theory (ISIT), Issue 12-20 July 2021, 2021, Page(s) https://research.chalmers.se/publication/526178/file/526178_Fulltext.pdf, ISBN 978-1-5386-8210-4
Publisher: IEEE
DOI: 10.1109/isit45174.2021.9518020