Scholar
Gergely Neu
Google Scholar ID: uz27G84AAAAJ
Artificial Intelligence and Machine Learning group, Universitat Pompeu Fabra
Citations & Impact
Citations
2,763
H-index
28
i10-index
45
Publications
20
Co-authors
62
list available
Publications
Resume (English only)
Academic Achievements
- Awarded an ERC Starting Grant; appointed as an ELLIS Scholar; published a new paper on deriving generalization bounds using convex analysis at COLT'22; published a new paper on the generalization properties of SGD at COLT'21; co-program chair of COLT'23 with Lorenzo Rosasco; recipient of the Bosch AI Young Researcher Award; has had multiple papers accepted and presented at various international conferences.
Research Experience
- Research Assistant Professor at the AI group, DTIC, Universitat Pompeu Fabra. Has served as an organizer or speaker at multiple academic conferences.
Background
- Machine learning researcher, mainly interested in theoretical aspects of sequential decision making. Focuses on online optimization, bandit problems, and reinforcement learning theory. Interested in algorithms with performance guarantees in terms of computational and statistical complexity that are actually implementable.
Miscellany
- Enjoys music; has a Twitter account.
