Research output per year
Research output per year
Personal profile
Research Interests
Professor Orabona's research lies at the intersection of practical and theoretical machine learning. His research interests encompass online learning, optimization, and statistical learning theory. His current research focus is on designing "parameter-free" machine learning algorithms, which are algorithms that operate effectively without requiring costly parameter tuning.
Education
Postdoctoral Researcher, University of Milan
2011
Postdoctoral Researcher, IDIAP Research Institute
2009
Ph.D., University of Genoa
2007
M.Sc., University of Naples Federico II
2003
B.Sc., University of Naples Federico II
2003
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Collaborations and top research areas from the last five years
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Tight Concentrations and Confidence Sequences From the Regret of Universal Portfolio
Orabona, F. & Jun, K. S., Jan 1 2024, In: IEEE Transactions on Information Theory. 70, 1, p. 436-455 20 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Algorithmic Learning Theory 2023: Preface
Agrawal, S. & Orabona, F., Jan 1 2023, In: Proceedings of Machine Learning Research. 201, p. 1-2 2 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Generalized Implicit Follow-The-Regularized-Leader
Chen, K. & Orabona, F., 2023, p. 4330-4391. 62 p.Research output: Contribution to conference › Paper › peer-review
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Optimal, Stochastic, Non-smooth, Non-convex Optimization through Online-to-Non-convex Conversion
Cutkosky, A., Mehta, H. & Orabona, F., 2023, p. 6643-6670. 28 p.Research output: Contribution to conference › Paper › peer-review
6 Scopus citations -
Tighter PAC-Bayes Bounds Through Coin-Betting
Jang, K., Jun, K. S., Kuzborskij, I. & Orabona, F., 2023, p. 2240-2264. 25 p.Research output: Contribution to conference › Paper › peer-review
4 Scopus citations -
Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting
Chen, K., Langford, J. & Orabona, F., Jun 30 2022, Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022. Association for the Advancement of Artificial Intelligence, p. 6239-6247 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
10 Scopus citations -
Implicit Parameter-free Online Learning with Truncated Linear Models
Chen, K., Cutkosky, A. & Orabona, F., Jan 1 2022, Proceedings of Machine Learning Research. ML Research Press, p. 148-175 28 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations -
On the Initialization for Convex-Concave Min-max Problems
Liu, M. & Orabona, F., Jan 1 2022, Proceedings of Machine Learning Research. ML Research Press, p. 743-767 25 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations
Press/Media
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Simplifying Transformer Models for Faster Training and Better Performance
06/19/24
1 item of Media coverage
Press/Media: Press / Media
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One of the fathers of artificial intelligence, Jurgen Schmidhuber, told Al Jazeera Net: Do not be afraid of my children
Ghanem, B., Schmidhuber, J. & Orabona, F.
03/12/24
1 item of Media coverage
Press/Media: Press / Media
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5 PROJECTS THAT PUSH THE LIMITS OF PHYSICS, FABRICATION TECHNIQUES, ALGORITHM DESIGN
06/30/21
1 item of Media coverage
Press/Media: Press / Media
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5 Projects That Push Limits of Physics, Fabrication Techniques, Algorithm Design
06/30/21
1 item of Media coverage
Press/Media: Press / Media
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UNIVERSITY PROMOTES 25 CHARLES RIVER CAMPUS FACULTY
06/22/21
1 item of Media coverage
Press/Media: Press / Media
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University Promotes 25 Charles River Campus Faculty
06/22/21
1 item of Media coverage
Press/Media: Press / Media