Massimiliano Pontil - Google Scholar Citations

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Andreas ArgyriouMicrosoft UKVerified email at alum.mit.edu
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
Bernardino Romera-ParedesGoogle DeepMindVerified email at google.com
Mark HerbsterAssociate Professor in Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Michele DoniniAmazonVerified email at amazon.com
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 ScellatoGoogle, 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
Sayan MukherjeeDuke University, MITVerified email at stat.duke.edu
Bernd HeiseleVerified email at mty.ai
Yiming YingDepartment of Mathematics and Statistics, University at Albany, SUNYVerified email at albany.edu
Luca FranceschiUniversity College London - Istituto Italiano di TecnologiaVerified email at iit.it
Carlo CilibertoImperial College LondonVerified email at imperial.ac.uk
Olivier ChapelleGoogleVerified email at chapelle.cc
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com

Massimiliano Pontil

Istituto Italiano di Tecnologia & University College London

Verified email at iit.it - Homepage

Applied Mathematics Learning Theory Machine Learning Statistics


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Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1407	2000
Regularized multi--task learning T Evgeniou, M Pontil Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1369	2004
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine learning 73 (3), 243-272, 2008	1337	2008
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik NIPS 12, 668-674, 2000	1303	2000
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 41, 2007	1282	2007
Support vector machines for 3D object recognition M Pontil, A Verri IEEE transactions on pattern analysis and machine intelligence 20 (6), 637-646, 1998	1102	1998
Learning multiple tasks with kernel methods T Evgeniou, CA Micchelli, M Pontil Journal of machine learning research 6 (Apr), 615-637, 2005	879	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	587	2012
An empirical study of geographic user activity patterns in foursquare A Noulas, S Scellato, C Mascolo, M Pontil Fifth international AAAI conference on weblogs and social media, 2011	578	2011
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), 2012	567	2012
On learning vector-valued functions CA Micchelli, M Pontil Neural computation 17 (1), 177-204, 2005	458	2005
Learning the kernel function via regularization CA Micchelli, M Pontil Journal of machine learning research 6 (Jul), 1099-1125, 2005	435	2005
Predicting structured data J Altun, G Bakir, O Bousquet, S Chopra, C Cortes, Daume III, O Dekel, ... MIT press, 2007	431*	2007
Advances in large margin classifiers AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf MIT press, 2000	379	2000
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	282	2001
Face detection in still gray images B Heisele, M Pontil MASSACHUSETTS INST OF TECH CAMBRIDGE MA CENTER FOR BIOLOGICAL AND …, 2000	280	2000
Properties of support vector machines M Pontil, A Verri Neural Computation 10 (4), 955-974, 1998	265	1998
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	264	2011
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	255	2012
Taking advantage of sparsity in multi-task learning K Lounici, M Pontil, AB Tsybakov, S Van De Geer arXiv preprint arXiv:0903.1468, 2009	244	2009

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