Massimiliano Pontil
Massimiliano Pontil
Istituto Italiano di Tecnologia & University College London
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Regularized multi--task learning
T Evgeniou, M Pontil
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Multi-task feature learning
A Argyriou, T Evgeniou, M Pontil
Advances in neural information processing systems 19, 41, 2007
Convex multi-task feature learning
A Argyriou, T Evgeniou, M Pontil
Machine learning 73, 243-272, 2008
Regularization networks and support vector machines
T Evgeniou, M Pontil, T Poggio
Advances in computational mathematics 13, 1-50, 2000
Feature selection for SVMs
J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik
NIPS 12, 668-674, 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
Learning multiple tasks with kernel methods.
T Evgeniou, CA Micchelli, M Pontil
Journal of machine learning research 6 (4), 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
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
Bilevel programming for hyperparameter optimization and meta-learning
L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil
arXiv preprint arXiv:1806.04910, 2018
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 25, 2012
An empirical study of geographic user activity patterns in foursquare
A Noulas, S Scellato, C Mascolo, M Pontil
Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011
On learning vector-valued functions
CA Micchelli, M Pontil
Neural computation 17 (1), 177-204, 2005
Support vector machines: Theory and applications
T Evgeniou, M Pontil
Advanced course on artificial intelligence, 249-257, 1999
Empirical bernstein bounds and sample variance penalization
A Maurer, M Pontil
arXiv preprint arXiv:0907.3740, 2009
Predicting structured data
G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar
MIT press, 2007
Learning the Kernel Function via Regularization.
CA Micchelli, M Pontil
Journal of machine learning research 6 (7), 2005
Empirical risk minimization under fairness constraints
M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil
Advances in neural information processing systems 31, 2018
Advances in large margin classifiers
AJ Smola
MIT press, 2000
Quantum machine learning: a classical perspective
C Ciliberto, M Herbster, AD Ialongo, M Pontil, A Rocchetto, S Severini, ...
Proc. R. Soc. A 474 (2209), 20170551, 2018
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Artículos 1–20