2026 Francesco Orabona: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	31	13700	13285	51	51	138	3882

Overview

Francesco Orabona is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their scholarly contributions span multiple fields within computer science and decision sciences, contributing to a broad spectrum of topics related to machine learning and optimization.

The scientist's main fields of study include:

Computer Science
Decision Sciences

Within these fields, their research covers several subfields, such as:

Artificial Intelligence
Management Science and Operations Research
Computational Mechanics
Computer Networks and Communications
Computer Vision and Pattern Recognition

The principal topics Francesco Orabona works on comprise:

Advanced Bandit Algorithms Research
Stochastic Gradient Optimization Techniques
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
Neural Networks and Applications
Reinforcement Learning in Robotics
Optimization and Search Problems

Among the recent publications authored or co-authored by Francesco Orabona are:

Understanding AdamW through Proximal Methods and Scale-Freeness, 2022, arXiv (Cornell University)
Online Learning Algorithms, 2020, Annual Review of Statistics and Its Application
A High Probability Analysis of Adaptive SGD with Momentum, 2020, arXiv (Cornell University)
Adam$^+$: A Stochastic Method with Adaptive Variance Reduction, 2020, arXiv (Cornell University)
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance, 2020, arXiv (Cornell University)

Frequent coauthors include:

Mingrui Liu
Zhenxun Zhuang
Ashok Cutkosky
Xiaoyu Li
Nicolò Campolongo

The venues where this scientist has frequently published include:

arXiv (Cornell University)
Annual Review of Statistics and Its Application
Proceedings of the AAAI Conference on Artificial Intelligence
Harvard Dataverse
Università degli Studi di Urbino

Best Publications

Safety in numbers: Learning categories from few examples with multi model knowledge transfer

Tatiana Tommasi;Francesco Orabona;Barbara Caputo

267
Citations
Learning Categories From Few Examples With Multi Model Knowledge Transfer

Tatiana Tommasi;Francesco Orabona;Barbara Caputo

188
Citations
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

Xiaoyu Li;Francesco Orabona

171
Citations
From N to N+1: Multiclass Transfer Incremental Learning

Ilja Kuzborskij;Francesco Orabona;Barbara Caputo

168
Citations
Object-based Visual Attention: a Model for a Behaving Robot

F. Orabona;G. Metta;G. Sandini

167
Citations
Stability and Hypothesis Transfer Learning

Ilja Kuzborskij;Ilja Kuzborskij;Francesco Orabona

150
Citations
Learning from Candidate Labeling Sets

Jie Luo;Francesco Orabona

149
Citations
The projectron: a bounded kernel-based Perceptron

Francesco Orabona;Joseph Keshet;Barbara Caputo

139
Citations
Momentum-Based Variance Reduction in Non-Convex SGD

Ashok Cutkosky;Francesco Orabona

136
Citations
Model adaptation with least-squares SVM for adaptive hand prosthetics

Francesco Orabona;Claudio Castellini;Barbara Caputo;Angelo Emanuele Fiorilla

127
Citations
Bounded Kernel-Based Online Learning

Francesco Orabona;Joseph Keshet;Barbara Caputo

115
Citations
A Modern Introduction to Online Learning.

Francesco Orabona

114
Citations
Discriminative cue integration for medical image annotation

Tatiana Tommasi;Francesco Orabona;Barbara Caputo

110
Citations
Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

T. Tommasi;F. Orabona;C. Castellini;B. Caputo

108
Citations
Online-batch strongly convex Multi Kernel Learning

Francesco Orabona;Luo Jie;Barbara Caputo

94
Citations
A generalized online mirror descent with applications to classification and regression

Francesco Orabona;Koby Crammer;Nicolò Cesa-Bianchi

89
Citations
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning

Francesco Orabona

84
Citations
Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning

Francesco Orabona;Luo Jie;Luo Jie

82
Citations
On-line independent support vector machines

Francesco Orabona;Claudio Castellini;Barbara Caputo;Luo Jie

73
Citations
Robust bounds for classification via selective sampling

Nicolò Cesa-Bianchi;Claudio Gentile;Francesco Orabona

70
Citations
A Proto-object Based Visual Attention Model

Francesco Orabona;Giorgio Metta;Giulio Sandini

68
Citations
Scale-free online learning

Francesco Orabona;Dávid Pál

52
Citations
Improved Strongly Adaptive Online Learning using Coin Betting

Kwang-Sung Jun;Francesco Orabona;Rebecca Willett;Stephen J. Wright

37
Citations

Frequent Co-Authors

Barbara Caputo Polytechnic University of Turin

Giulio Sandini Italian Institute of Technology

Giorgio Metta Italian Institute of Technology

Claudio Castellini University of Erlangen-Nuremberg

Nicolò Cesa-Bianchi University of Milan

Tommi S. Jaakkola MIT

Claudio Gentile Google (United States)

Rebecca Willett University of Chicago

Lorenzo Natale Italian Institute of Technology

Frank W. Ohl Leibniz Institute for Neurobiology

External Links

Personal website of Francesco Orabona Google Scholar page

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