Aminian, G;
Toni, L;
Rodrigues, MRD;
(2021)
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms.
In:
Proceedings of the IEEE International Symposium on Information Theory (ISIT) 2021.
(pp. pp. 682-687).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
Generalization error bounds are critical to understanding the performance of machine learning models. In this work, building upon a new bound of the expected value of an arbitrary function of the population and empirical risk of a learning algorithm, we offer a more refined analysis of the generalization behaviour of a machine learning models based on a characterization of (bounds) to their generalization error moments. We discuss how the proposed bounds - which also encompass new bounds to the expected generalization error - relate to existing bounds in the literature. We also discuss how the proposed generalization error moment bounds can be used to construct new generalization error high-probability bounds.
| Type: | Proceedings paper |
|---|---|
| Title: | Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms |
| Event: | IEEE International Symposium on Information Theory (ISIT) |
| Location: | Melbourne, Australia |
| Dates: | 12th-20th July 2021 |
| ISBN-13: | 978-1-5386-8209-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ISIT45174.2021.9518043 |
| Publisher version: | https://doi.org/10.1109/ISIT45174.2021.9518043 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Analytical models, Machine learning algorithms, Sociology, Supervised learning, Measurement uncertainty, Buildings, Machine learning |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10138964 |
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