My research is focused on statistical learning theory and machine learning.
In particular, I work on generalization bounds (in particular of the information-theoretic variety); the application of such bounds to neural networks and meta learning; as well as online learning and active learning.
I am currently a postdoc at University College London Centre for Artificial Intelligence, advised by Benjamin Guedj and supported by WASP.
Prior to this, I completed my PhD at Chalmers University of Technology as part of the WASP Graduate School AI-track, supervised by Giuseppe Durisi, and studied Physics at the University of Gothenburg.
A more detailed description of the WASP project INNER: information theory of deep neural networks that I participated in during my PhD is available here.
f.hellstrom⚽ucl.ac.uk
Fredrik Hellström
University College London
London, United Kingdom