Francesco Orabona

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Barbara CaputoDAUIN, Politecnico di TorinoVerified 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 JieNianticVerified email at nianticlabs.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 CastelliniProfessor of Medical Robotics at FAU Erlangen and senior researcher at the German Aerospace CenterVerified email at fau.de
Ilja KuzborskijDeepMindVerified email at google.com
Dávid PálStaff Machine Learning Engineer, InstacartVerified email at instacart.com
Ashok CutkoskyBoston UniversityVerified email at cutkosky.com
Xiaoyu LiPh.D student, Boston UniversityVerified email at bu.edu
Claudio GentileGoogle Research, New York, USAVerified email at google.com
Kwang-Sung JunThe University of ArizonaVerified email at cs.arizona.edu
Joseph (Yossi) KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionVerified email at technion.ac.il
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
zhenxun zhuangMetaVerified email at fb.com
Marco FornoniGoogleVerified email at google.com
Mingrui LiuGeorge Mason UniversityVerified email at gmu.edu
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu

Francesco Orabona

Associate 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	244	2010
On the convergence of stochastic gradient descent with adaptive stepsizes X Li, F Orabona The 22nd international conference on artificial intelligence and statistics …, 2019	189	2019
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	169	2014
Momentum-based variance reduction in non-convex sgd A Cutkosky, F Orabona Advances in neural information processing systems 32, 2019	168	2019
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	166	2005
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	155	2013
Stability and hypothesis transfer learning I Kuzborskij, F Orabona International Conference on Machine Learning (ICML), 942-950, 2013	149	2013
A modern introduction to online learning F Orabona arXiv preprint arXiv:1912.13213, 2019	140	2019
The Projectron: a bounded kernel-based Perceptron F Orabona, J Keshet, B Caputo International Conference on Machine Learning (ICML), 720-727, 2008	133	2008
Learning from candidate labeling sets J Luo, F Orabona NIPS Foundation-Advances in Neural Information Processing Systems 23 (NIPS10), 2010	131	2010
Bounded Kernel-Based Online Learning F Orabona, J Keshet, B Caputo Journal of Machine Learning Research 10 (11), 2009	120	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	113	2009
Discriminative cue integration for medical image annotation T Tommasi, F Orabona, B Caputo Pattern Recognition Letters 29 (15), 1996-2002, 2008	112	2008
Coin betting and parameter-free online learning F Orabona, D Pál Advances in Neural Information Processing Systems 29, 2016	99	2016
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	92	2013
Simultaneous model selection and optimization through parameter-free stochastic learning F Orabona Advances in Neural Information Processing Systems 27, 2014	90	2014
Online-batch strongly convex multi kernel learning F Orabona, L Jie, B Caputo 2010 IEEE computer society conference on computer vision and pattern …, 2010	88	2010
A Proto-object based visual attention model F Orabona, G Metta, G Sandini Attention in Cognitive Systems. Theories and Systems from an …, 2007	86*	2007
Black-box reductions for parameter-free online learning in Banach spaces A Cutkosky, F Orabona Conference On Learning Theory, 1493-1529, 2018	82	2018
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	82	2015

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