Massimiliano Pontil

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	All	Since 2015
Citations	23419	11874
h-index	70	51
i10-index	137	113

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Andreas ArgyriouMicrosoft UKVerified email at alum.mit.edu
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
Bernardino Romera-ParedesGoogle DeepMindVerified email at google.com
Michele DoniniAmazonVerified email at amazon.com
Mark HerbsterUniversity College LondonVerified email at cs.ucl.ac.uk
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Luca FranceschiUniversity College London - Istituto Italiano di TecnologiaVerified email at iit.it
Carlo CilibertoImperial College LondonVerified email at imperial.ac.uk
Andre ElisseeffGoogleVerified email at google.com
Cecilia MascoloUniversity of CambridgeVerified email at cl.cam.ac.uk
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Salvatore ScellatoDeepMind, Google, University of CambridgeVerified email at cl.cam.ac.uk
Anastasios NoulasNew York University, Center for Data Science, Moore-Sloan FellowVerified email at cl.cam.ac.uk
Yiming YingDepartment of Mathematics and Statistics, University at Albany, SUNYVerified email at albany.edu
Bernd HeiseleVerified email at mty.ai
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Sayan MukherjeeDuke University, MITVerified email at stat.duke.edu
David JonesProfessor of Bioinformatics, University College LondonVerified email at ucl.ac.uk

Massimiliano Pontil

Istituto Italiano di Tecnologia & University College London

Verified email at iit.it - Homepage

Applied Mathematics Learning Theory Machine Learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Regularized multi--task learning T Evgeniou, M Pontil Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1492	2004
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1462	2000
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine learning 73 (3), 243-272, 2008	1432	2008
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 41, 2007	1406	2007
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik NIPS 12, 668-674, 2000	1356	2000
Support vector machines for 3D object recognition M Pontil, A Verri IEEE transactions on pattern analysis and machine intelligence 20 (6), 637-646, 1998	1119	1998
Learning multiple tasks with kernel methods T Evgeniou, CA Micchelli, M Pontil Journal of machine learning research 6 (Apr), 615-637, 2005	939	2005
PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments DT Jones, DWA Buchan, D Cozzetto, M Pontil Bioinformatics 28 (2), 184-190, 2012	632	2012
A tale of many cities: universal patterns in human urban mobility A Noulas, S Scellato, R Lambiotte, M Pontil, C Mascolo PloS one 7 (5), e37027, 2012	615	2012
An empirical study of geographic user activity patterns in foursquare. A Noulas, S Scellato, C Mascolo, M Pontil ICwSM 11 (70-573), 2, 2011	598	2011
On learning vector-valued functions CA Micchelli, M Pontil Neural computation 17 (1), 177-204, 2005	483	2005
Predicting structured data J Altun, G Bakir, O Bousquet, S Chopra, C Cortes, Daume III, O Dekel, ... MIT press, 2007	455*	2007
Learning the kernel function via regularization CA Micchelli, M Pontil Journal of machine learning research 6 (Jul), 1099-1125, 2005	451	2005
Advances in large margin classifiers AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf MIT press, 2000	388	2000
Optimal kernel choice for large-scale two-sample tests A Gretton, D Sejdinovic, H Strathmann, S Balakrishnan, M Pontil, ... Advances in neural information processing systems, 1205-1213, 2012	318	2012
Oracle inequalities and optimal inference under group sparsity K Lounici, M Pontil, S Van De Geer, AB Tsybakov The annals of statistics 39 (4), 2164-2204, 2011	290	2011
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	288	2001
Face detection in still gray images B Heisele, M Pontil MASSACHUSETTS INST OF TECH CAMBRIDGE MA CENTER FOR BIOLOGICAL AND …, 2000	286	2000
Empirical Bernstein bounds and sample variance penalization A Maurer, M Pontil arXiv preprint arXiv:0907.3740, 2009	284	2009
Properties of support vector machines M Pontil, A Verri Neural Computation 10 (4), 955-974, 1998	274	1998

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