Francesco Orabona 个人学术档案

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	总计	2019 年至今
引用	5893	3651
h 指数	40	32
i10 指数	77	58

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Barbara CaputoDAUIN, Politecnico di Torino在 polito.it 的电子邮件经过验证
Tatiana TommasiPolitecnico di Torino在 polito.it 的电子邮件经过验证
Giulio SandiniIstituto Italiano di Tecnologia - Robotics, Brain and Cognitive Sciences在 iit.it 的电子邮件经过验证
Luo JieNiantic在 nianticlabs.com 的电子邮件经过验证
Giorgio MettaScientific Director, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
Ilja KuzborskijGoogle DeepMind在 google.com 的电子邮件经过验证
Ashok CutkoskyBoston University在 cutkosky.com 的电子邮件经过验证
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di Milano在 unimi.it 的电子邮件经过验证
Claudio CastelliniProfessor of Medical Robotics at FAU Erlangen and senior researcher at the German Aerospace Center在 fau.de 的电子邮件经过验证
Dávid PálStaff Machine Learning Engineer, Instacart在 instacart.com 的电子邮件经过验证
Kwang-Sung JunThe University of Arizona在 cs.arizona.edu 的电子邮件经过验证
Claudio GentileGoogle Research, New York, USA在 google.com 的电子邮件经过验证
zhenxun zhuangMeta在 fb.com 的电子邮件经过验证
Mingrui LiuGeorge Mason University在 gmu.edu 的电子邮件经过验证
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, Technion在 technion.ac.il 的电子邮件经过验证
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of Technology在 ee.technion.ac.il 的电子邮件经过验证
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
Marco FornoniGoogle在 google.com 的电子邮件经过验证
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer Science在 uchicago.edu 的电子邮件经过验证
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of Wisconsin在 cs.wisc.edu 的电子邮件经过验证

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Francesco Orabona

Associate Professor, KAUST

在 orabona.com 的电子邮件经过验证 - 首页

Online Learning Machine Learning Optimization Learning Theory


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Momentum-based variance reduction in non-convex SGD A Cutkosky, F Orabona Advances in neural information processing systems 32, 2019	375	2019
A modern introduction to online learning F Orabona arXiv preprint arXiv:1912.13213, 2019	350	2019
On the convergence of stochastic gradient descent with adaptive stepsizes X Li, F Orabona The 22nd international conference on artificial intelligence and statistics …, 2019	316	2019
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	283	2010
Stability and hypothesis transfer learning I Kuzborskij, F Orabona International Conference on Machine Learning (ICML), 942-950, 2013	199	2013
Learning from candidate labeling sets J Luo, F Orabona NIPS Foundation-Advances in Neural Information Processing Systems 23 (NIPS10), 2010	195	2010
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	187	2014
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	169	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	168	2013
Coin betting and parameter-free online learning F Orabona, D Pál Advances in Neural Information Processing Systems 29, 2016	161	2016
The Projectron: a bounded kernel-based Perceptron F Orabona, J Keshet, B Caputo International Conference on Machine Learning (ICML), 720-727, 2008	147	2008
Black-box reductions for parameter-free online learning in Banach spaces A Cutkosky, F Orabona Conference On Learning Theory, 1493-1529, 2018	134	2018
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	132	2009
Bounded Kernel-Based Online Learning F Orabona, J Keshet, B Caputo Journal of Machine Learning Research 10 (11), 2009	126	2009
Discriminative cue integration for medical image annotation T Tommasi, F Orabona, B Caputo Pattern Recognition Letters 29 (15), 1996-2002, 2008	120	2008
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	112	2013
Training deep networks without learning rates through coin betting F Orabona, T Tommasi Advances in Neural Information Processing Systems 30, 2017	110	2017
Scale-free online learning F Orabona, D Pál Theoretical Computer Science 716, 50-69, 2018	106	2018
Simultaneous model selection and optimization through parameter-free stochastic learning F Orabona Advances in Neural Information Processing Systems 27, 2014	105	2014
A generalized online mirror descent with applications to classification and regression F Orabona, K Crammer, N Cesa-Bianchi Machine Learning 99, 411-435, 2015	99	2015

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