Scholar
Francesco Orabona
Google Scholar ID: g1ha-iYAAAAJ
Associate Professor, KAUST
Citations & Impact
Citations
4,383
H-index
34
i10-index
58
Publications
20
Co-authors
99
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Papers: Multiple papers accepted to ALT 2025, NeurIPS 2024, COLT 2024, ICLR 2024, etc. Editorial Activities: Senior Area Chair for NeurIPS 2025, ICML 2025, Senior PC Member for COLT 2025, Area Chair for ALT 2025, Co-chair for ALT 2023, Associate Editor for IEEE Trans. Information Theory, and Action Editor for JMLR.
Research Experience
- Work Experience: Currently an Associate Professor at KAUST; Previously worked at Boston University, Stony Brook University, Yahoo Research NY, Toyota Technological Institute at Chicago, University of Milan, IDIAP Research Institute, and University of Genoa.
Background
- Research Interests: Parameter-free machine learning, online learning, batch/stochastic optimization, and statistical learning theory. Brief Introduction: Currently an Associate Professor in the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST.
Miscellany
- Personal Interests: Manages the OPTIMAL Lab; Twitter: @bremen79; Blog: parameterfree.com
