Francesco Orabona

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Barbara CaputoPolitecnico di Torino & Italian Institute of TechnologyVerified email at polito.it
Giulio SandiniIstituto Italiano di Tecnologia - Robotics, Brain and Cognitive SciencesVerified email at iit.it
Tatiana TommasiPolitecnico di TorinoVerified email at polito.it
Luo JieStealth StartupVerified email at sigmoidai.com
Giorgio MettaScientific Director, Istituto Italiano di TecnologiaVerified email at iit.it
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Claudio CastelliniTeam leader at the DLR (German Aerospace Center)Verified email at dlr.de
Ilja KuzborskijDeepMindVerified email at google.com
Dávid PálStaff Machine Learning Engineer, InstacartVerified email at instacart.com
Claudio GentileGoogle Research, New York, USAVerified email at google.com
Joseph (Yossi) KeshetProfessor, Dept. of Computer Science, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Xiaoyu LiPh.D student, Boston UniversityVerified email at bu.edu
Ashok CutkoskyBoston UniversityVerified email at cutkosky.com
Kwang-Sung JunThe University of ArizonaVerified email at cs.arizona.edu
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di TecnologiaVerified email at iit.it
Marco FornoniGoogleVerified email at google.com
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Etienne GrossmannMagic Leap IncVerified email at egdn.net

Francesco Orabona

Assistant Professor, Boston University

Verified email at orabona.com - Homepage

Online Learning Machine Learning Optimization Learning Theory


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Safety in numbers: Learning categories from few examples with multi model knowledge transfer T Tommasi, F Orabona, B Caputo 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	220	2010
Object-based visual attention: a model for a behaving robot F Orabona, G Metta, G Sandini 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	159	2005
Learning categories from few examples with multi model knowledge transfer T Tommasi, F Orabona, B Caputo IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (5), 928-941, 2014	142	2014
From n to n+ 1: Multiclass transfer incremental learning I Kuzborskij, F Orabona, B Caputo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	127	2013
The Projectron: a bounded kernel-based Perceptron F Orabona, J Keshet, B Caputo International Conference on Machine Learning (ICML), 720-727, 2008	124	2008
Stability and hypothesis transfer learning I Kuzborskij, F Orabona International Conference on Machine Learning (ICML), 942-950, 2013	117	2013
Bounded Kernel-Based Online Learning F Orabona, J Keshet, B Caputo Journal of Machine Learning Research 10 (11), 2009	109	2009
Model adaptation with least-squares SVM for adaptive hand prosthetics F Orabona, C Castellini, B Caputo, AE Fiorilla, G Sandini Robotics and Automation, 2009. ICRA'09. IEEE International Conference on …, 2009	107	2009
Discriminative cue integration for medical image annotation T Tommasi, F Orabona, B Caputo Pattern Recognition Letters 29 (15), 1996-2002, 2008	105	2008
Learning from candidate labeling sets L Jie, F Orabona Advances in Neural Information Processing Systems 23, 1504--1512, 2010	98*	2010
Online-batch strongly convex multi kernel learning F Orabona, L Jie, B Caputo 2010 IEEE computer society conference on computer vision and pattern …, 2010	86	2010
Simultaneous model selection and optimization through parameter-free stochastic learning F Orabona arXiv preprint arXiv:1406.3816, 2014	83	2014
On the convergence of stochastic gradient descent with adaptive stepsizes X Li, F Orabona The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	81	2019
Improving control of dexterous hand prostheses using adaptive learning T Tommasi, F Orabona, C Castellini, B Caputo IEEE Transactions on Robotics 29 (1), 207-219, 2013	78	2013
A Proto-object based visual attention model F Orabona, G Metta, G Sandini Attention in Cognitive Systems. Theories and Systems from an …, 2007	78*	2007
Ultra-fast optimization algorithm for sparse multi kernel learning F Orabona, L Jie International Conference on Machine Learning (ICML), 2011	76	2011
A generalized online mirror descent with applications to classification and regression F Orabona, K Crammer, N Cesa-Bianchi Machine Learning 99 (3), 411-435, 2015	68	2015
Coin betting and parameter-free online learning F Orabona, D Pál arXiv preprint arXiv:1602.04128, 2016	65	2016
On-line independent support vector machines F Orabona, C Castellini, B Caputo, L Jie, G Sandini Pattern Recognition 43 (4), 1402-1412, 2010	63	2010
Robust bounds for classification via selective sampling N Cesa-Bianchi, C Gentile, F Orabona Proceedings of the 26th annual international conference on machine learning …, 2009	63	2009

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