Aurélien Bellet

Research Scientist, INRIA

Aurélien Bellet is a tenured researcher at INRIA.
He obtained his Ph.D. from the University of Saint-Etienne (France) in 2012 and, prior to joining INRIA, he was a postdoctoral researcher at the University of Southern California (USA) and at Télécom ParisTech (France). His main line of research is statistical machine learning, with particular interests in developing large-scale algorithms which allow good trade-offs between computational complexity (or other ""resources"", such as privacy or communication) and statistical performance. His recent work focuses on designing and analyzing decentralized and privacy-preserving machine learning algorithms. His work has been published in top machine learning venues such as ICML, NIPS and AISTATS.

AMLD EPFL 2020/ Speakers

Edward Snowden

Whistleblower & Cybersecurity Expert

Max Tegmark

Professor, MIT

Danny Lange

VP of AI and Machine Learning, Unity Technologies

David Autor

Ford Professor of Economics, MIT

Jakob Uszkoreit

Head, Google Brain Berlin

Marinka Zitnik

Harvard University

AMLD / Global partners