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Francesco Orabona

Associate Professor, Computer Science

Computer, Electrical and Mathematical Science and Engineering Division
Email icon francesco.orabona@kaust.edu.sa
Website icon Personal Website

Program Affiliations

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.
Keyword tag icon
online learning online convex optimization SGD parameter-free optimization statistical learning theory kernels

Education Profile

  • Postdoctoral Researcher, University of Milano, 2010-2011

  • Postdoctoral Researcher, IDIAP Research Institute, 2007-2009

  • Ph.D., University of Genoa, 2007

  • B.Sc. and M.Sc. ("Laurea"), University of Napoli "Federico II", 2003

Publications

  • A. Cutkosky, H. Mehta, F. Orabona. “Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion”. in: Proc. of the International Conference on Machine Learning. 2023

  • N. Cesa-Bianchi and F. Orabona. “Online Learning Algorithms”. In: Annual Review of Statistics and Its Application 8 (2021)

  • A. Cutkosky and F. Orabona. “Momentum-Based Variance Reduction in Non-Convex SGD”. in: Advances in Neural Information Processing Systems 32. 2019

  • X. Li and F. Orabona. “On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes”. In: Proc. of the International Conference on Artificial Intelligence and Statistics (AISTATS). 2019

  • F. Orabona and D. Pál. “Coin Betting and Parameter-Free Online Learning”. In: Advances in Neural Information Processing Systems 29. 2016

Research Areas

  • Computer Science
  • Machine Learning