Scholar
Aurélien Bellet
Google Scholar ID: j8svx3IAAAAJ
Research scientist at Inria
Citations & Impact
Citations
12,663
H-index
30
i10-index
53
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at top international conferences such as ICML, CCS, ICLR, and AISTATS; research areas include privacy-preserving machine learning, distributed/federated/decentralized learning algorithms, etc.
Research Experience
- Currently a senior researcher (directeur de recherche) at Inria, France, and part of the PreMeDICaL Team (Precision Medicine by Data Integration and Causal Learning), an Inria/Inserm research group based in Montpellier. Also an associate member of the Magnet Team (MAchine learninG in information NETworks) based in Lille. Previously, he was a postdoctoral researcher at the University of Southern California (working with Fei Sha) and then at Télécom Paris (working with Stéphan Clémençon).
Education
- Ph.D. from the University of Saint-Etienne in 2012, supervised by Marc Sebban and Amaury Habrard.
Background
- Research interests: theory and algorithms of machine learning, particularly in designing large-scale learning algorithms that achieve good trade-offs between statistical performance and other key criteria such as computational complexity, communication, privacy, and fairness. Current research focus includes distributed/federated/decentralized learning algorithms, privacy-preserving machine learning, representation learning and distance metric learning, optimization for machine learning, graph-based methods, statistical learning theory, fairness in machine learning, and applications to NLP, speech recognition, and health.
Miscellany
- You can find more information in his CV or LinkedIn profile. You can also follow him on Mastodon.
