Andreas Argyriou

Cited by

	All	Since 2016
Citations	4367	2146
h-index	16	14
i10-index	17	16

460

230

115

345

200620072008200920102011201220132014201520162017201820192020202117 30 94 142 208 260 276 318 430 407 448 456 426 433 377 6

Co-authors

Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Theodoros EvgeniouINSEADVerified email at insead.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Rina Foygel BarberUniversity of ChicagoVerified email at uchicago.edu
Yiming YingDepartment of Mathematics and Statistics, University at Albany, SUNYVerified email at albany.edu
Nadia Bianchi-BerthouzeProfessor Affective Computing and Interaction, University College LondonVerified email at ucl.ac.uk
Bernardino Romera-ParedesGoogle DeepMindVerified email at google.com
Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
Mark HerbsterUniversity College LondonVerified email at cs.ucl.ac.uk
Raphael HauserAssociate Professor in Numerical Mathematics, University of OxfordVerified email at maths.ox.ac.uk
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Lixin ShenProfessor of Mathematics, Syracuse UniversityVerified email at syr.edu
Yuesheng XuProfessor of Data Science & Math, Old Dominion University; Professor Emeritus, Syracuse UniversityVerified email at odu.edu
Francesco OrabonaAssistant Professor, Boston UniversityVerified email at orabona.com
Francesco DinuzzoPrincipal Scientist at Expedia GroupVerified email at expedia.com
Eugene BelilovskyAssistant Professor, Concordia UniversityVerified email at concordia.ca
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Gaël VaroquauxResearch director, INRIAVerified email at normalesup.org
Nicolas VayatisProfesseur des universités, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
Emile RichardStanfordVerified email at stanford.edu

Andreas Argyriou

Microsoft UK

Verified email at alum.mit.edu - Homepage

Machine Learning Statistical Learning Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine learning 73 (3), 243-272, 2008	1462	2008
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007	1438	2007
A Spectral Regularization Framework for Multi-Task Structure Learning. A Argyriou, CA Micchelli, M Pontil, Y Ying Advances in Neural Information Processing Systems, 2007	302*	2007
Combining graph Laplacians for semi--supervised learning A Argyriou, M Herbster, M Pontil Advances in Neural Information Processing Systems, 67-74, 2006	177	2006
Sparse Prediction with the k-Support Norm A Argyriou, R Foygel, N Srebro Advances in Neural Information Processing Systems 2012, 2012	153	2012
A DC-programming algorithm for kernel selection A Argyriou, R Hauser, CA Micchelli, M Pontil Proceedings of the 23rd international conference on Machine learning, 41-48, 2006	138	2006
When is there a representer theorem? Vector versus matrix regularizers A Argyriou, CA Micchelli, M Pontil The Journal of Machine Learning Research 10, 2507-2529, 2009	136	2009
Learning convex combinations of continuously parameterized basic kernels A Argyriou, CA Micchelli, M Pontil International Conference on Computational Learning Theory, 338-352, 2005	129	2005
Exploiting Unrelated Tasks in Multi-Task Learning BR Paredes, A Argyriou, N Berthouze, M Pontil Fifteenth International Conference on Artificial Intelligence and Statistics …, 2012	106	2012
An algorithm for transfer learning in a heterogeneous environment A Argyriou, A Maurer, M Pontil Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008	94	2008
On spectral learning. A Argyriou, CA Micchelli, M Pontil Journal of Machine Learning Research 11 (2), 2010	59	2010
Efficient first order methods for linear composite regularizers A Argyriou, CA Micchelli, M Pontil, L Shen, Y Xu arXiv preprint arXiv:1104.1436, 2011	55	2011
Prisma: Proximal iterative smoothing algorithm F Orabona, A Argyriou, N Srebro arXiv preprint arXiv:1206.2372, 2012	41	2012
Regularization, optimization, kernels, and support vector machines JAK Suykens, M Signoretto, A Argyriou CRC Press, 2014	30	2014
A unifying view of representer theorems A Argyriou, F Dinuzzo International Conference on Machine Learning, 748-756, 2014	22	2014
Hybrid conditional gradient-smoothing algorithms with applications to sparse and low rank regularization A Argyriou, M Signoretto, J Suykens Regularization, Optimization, Kernels, and Support Vector Machines, 53-82, 2014	20	2014
A general framework for structured sparsity via proximal optimization L Baldassarre, J Morales, A Argyriou, M Pontil Artificial Intelligence and Statistics, 82-90, 2012	16	2012
Learning the graph of relations among multiple tasks A Argyriou, S Clémençon, R Zhang	15	2013
Convex relaxations of penalties for sparse correlated variables with bounded total variation E Belilovsky, A Argyriou, G Varoquaux, M Blaschko Machine Learning 100 (2-3), 533-553, 2015	7	2015
Efficient approximation methods for harmonic semisupervised learning A Argyriou Master's thesis, University College London, 2004	7	2004

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors