Massimiliano Pontil
Massimiliano Pontil
Istituto Italiano di Tecnologia & University College London
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Zitiert von
Zitiert von
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
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
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
On learning vector-valued functions
CA Micchelli, M Pontil
Neural computation 17 (1), 177-204, 2005
Bilevel programming for hyperparameter optimization and meta-learning
L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil
arXiv preprint arXiv:1806.04910, 2018
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 bernstein bounds and sample variance penalization
A Maurer, M Pontil
arXiv preprint arXiv:0907.3740, 2009
Support vector machines: Theory and applications
T Evgeniou, M Pontil
Machine Learning and Its Applications: Advanced Lectures, 249-257, 2001
Advances in large margin classifiers
AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf
MIT press, 2000
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification
YT Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong ...
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Oracle inequalities and optimal inference under group sparsity
K Lounici, M Pontil, S Van De Geer, AB Tsybakov
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