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 | 2013 | |
|---|---|---|
| j29 |      | Charles A. Micchelli, Jean Morales, Massimiliano Pontil: Regularizers for structured sparsity. Adv. Comput. Math. 38(3): 455-489 (2013) |
| i11 | | Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil: On Sparsity Inducing Regularization Methods for Machine Learning. CoRR abs/1303.6086 (2013) |
| 2012 | ||
| j28 | | David T. Jones, Daniel W. A. Buchan, Domenico Cozzetto, Massimiliano Pontil: PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments. Bioinformatics 28(2): 184-190 (2012) |
| j27 | | Andreas Maurer, Massimiliano Pontil: Structured Sparsity and Generalization. Journal of Machine Learning Research 13: 671-690 (2012) |
| j26 | | Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil: A General Framework for Structured Sparsity via Proximal Optimization. Journal of Machine Learning Research - Proceedings Track 22: 82-90 (2012) |
| j25 | | Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil: Exploiting Unrelated Tasks in Multi-Task Learning. Journal of Machine Learning Research - Proceedings Track 22: 951-959 (2012) |
| c48 | | Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton: Modelling transition dynamics in MDPs with RKHS embeddings. ICML 2012 |
| c47 | | Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil: Conditional mean embeddings as regressors. ICML 2012 |
| c46 | | Arthur Gretton, Bharath K. Sriperumbudur, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu: Optimal kernel choice for large-scale two-sample tests. NIPS 2012: 1214-1222 |
| i10 | | Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil: Conditional mean embeddings as regressors - supplementary. CoRR abs/1205.4656 (2012) |
| i9 | | Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton: Modelling transition dynamics in MDPs with RKHS embeddings. CoRR abs/1206.4655 (2012) |
| i8 | | Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes: Sparse coding for multitask and transfer learning. CoRR abs/1209.0738 (2012) |
| i7 | | Andreas Maurer, Massimiliano Pontil: Excess risk bounds for multitask learning with trace norm regularization. CoRR abs/1212.1496 (2012) |
| 2011 | ||
| c45 | | Anastasios Noulas, Salvatore Scellato, Cecilia Mascolo, Massimiliano Pontil: An Empirical Study of Geographic User Activity Patterns in Foursquare. ICWSM 2011 |
| c44 | | Anastasios Noulas, Salvatore Scellato, Cecilia Mascolo, Massimiliano Pontil: Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks. The Social Mobile Web 2011 |
| i6 | | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Lixin Shen, Yuesheng Xu: Efficient First Order Methods for Linear Composite Regularizers. CoRR abs/1104.1436 (2011) |
| i5 | | Andreas Argyriou, Luca Baldassarre, Jean Morales, Massimiliano Pontil: A General Framework for Structured Sparsity via Proximal Optimization. CoRR abs/1106.5236 (2011) |
| i4 | | Andreas Maurer, Massimiliano Pontil: Structured Sparsity and Generalization. CoRR abs/1108.3476 (2011) |
| i3 | | Anastasios Noulas, Salvatore Scellato, Renaud Lambiotte, Massimiliano Pontil, Cecilia Mascolo: A tale of many cities: universal patterns in human urban mobility. CoRR abs/1108.5355 (2011) |
| i2 | | Steffen Grünewälder, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton, Guy Lever: Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions. CoRR abs/1112.4722 (2011) |
| 2010 | ||
| j24 | | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: On Spectral Learning. Journal of Machine Learning Research 11: 935-953 (2010) |
| j23 | | Augusto Maurer, Massimiliano Pontil: K -Dimensional Coding Schemes in Hilbert Spaces. IEEE Transactions on Information Theory 56(11): 5839-5846 (2010) |
| c43 | | Charles A. Micchelli, Jean Morales, Massimiliano Pontil: A Family of Penalty Functions for Structured Sparsity. NIPS 2010: 1612-1623 |
| 2009 | ||
| j22 | | Andrea Caponnetto, Ernesto De Vito, Massimiliano Pontil: Entropy conditions for L r -convergence of empirical processes. Adv. Comput. Math. 30(4): 355-373 (2009) |
| j21 | | Stefano Lise, Cédric Archambeau, Massimiliano Pontil, David T. Jones: Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods. BMC Bioinformatics 10: 365 (2009) |
| j20 | | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: When Is There a Representer Theorem? Vector Versus Matrix Regularizers. Journal of Machine Learning Research 10: 2507-2529 (2009) |
| c42 | | Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer: Taking Advantage of Sparsity in Multi-Task Learning. COLT 2009 |
| c41 | | Andreas Maurer, Massimiliano Pontil: Empirical Bernstein Bounds and Sample-Variance Penalization. COLT 2009 |
| 2008 | ||
| j19 | | Yiming Ying, Massimiliano Pontil: Online Gradient Descent Learning Algorithms. Foundations of Computational Mathematics 8(5): 561-596 (2008) |
| j18 | | Andrea Caponnetto, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying: Universal Multi-Task Kernels. Journal of Machine Learning Research 9: 1615-1646 (2008) |
| j17 | | Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Convex multi-task feature learning. Machine Learning 73(3): 243-272 (2008) |
| c40 | | Andreas Maurer, Massimiliano Pontil: A Uniform Lower Error Bound for Half-Space Learning. ALT 2008: 70-78 |
| c39 | | Andreas Maurer, Massimiliano Pontil: Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. ALT 2008: 79-91 |
| c38 | | Mark Herbster, Guy Lever, Massimiliano Pontil: Online Prediction on Large Diameter Graphs. NIPS 2008: 649-656 |
| c37 | | Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano: Fast Prediction on a Tree. NIPS 2008: 657-664 |
| c36 | | Andreas Argyriou, Andreas Maurer, Massimiliano Pontil: An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) 2008: 71-85 |
| i1 | | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: When is there a representer theorem? Vector versus matrix regularizers. CoRR abs/0809.1590 (2008) |
| 2007 | ||
| j16 | | Charles A. Micchelli, Massimiliano Pontil: Feature space perspectives for learning the kernel. Machine Learning 66(2-3): 297-319 (2007) |
| c35 | | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying: A Spectral Regularization Framework for Multi-Task Structure Learning. NIPS 2007 |
| 2006 | ||
| c34 | | Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil: A DC-programming algorithm for kernel selection. ICML 2006: 41-48 |
| c33 | | Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Multi-Task Feature Learning. NIPS 2006: 41-48 |
| c32 | | |
| 2005 | ||
| j15 | | André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: Stability of Randomized Learning Algorithms. Journal of Machine Learning Research 6: 55-79 (2005) |
| j14 | | Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil: Learning Multiple Tasks with Kernel Methods. Journal of Machine Learning Research 6: 615-637 (2005) |
| j13 | | Charles A. Micchelli, Massimiliano Pontil: Learning the Kernel Function via Regularization. Journal of Machine Learning Research 6: 1099-1125 (2005) |
| j12 | | Charles A. Micchelli, Massimiliano Pontil: On Learning Vector-Valued Functions. Neural Computation 17(1): 177-204 (2005) |
| j11 | | Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil: Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognition Letters 26(12): 1896-1906 (2005) |
| c31 | | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: Learning Convex Combinations of Continuously Parameterized Basic Kernels. COLT 2005: 338-352 |
| c30 | | |
| c29 | | Andreas Argyriou, Mark Herbster, Massimiliano Pontil: Combining Graph Laplacians for Semi-Supervised Learning. NIPS 2005 |
| 2004 | ||
| j10 | | Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff: Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Machine Learning 55(1): 71-97 (2004) |
| j9 | | Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: New results on error correcting output codes of kernel machines. IEEE Transactions on Neural Networks 15(1): 45-54 (2004) |
| c28 | | Charles A. Micchelli, Massimiliano Pontil: A Function Representation for Learning in Banach Spaces. COLT 2004: 255-269 |
| c27 | | |
| c26 | | |
| 2003 | ||
| j8 | | Massimiliano Pontil: A note on different covering numbers in learning theory. J. Complexity 19(5): 665-671 (2003) |
| j7 | | Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. Pattern Recognition 36(2): 397-406 (2003) |
| j6 | | Chikahito Nakajima, Massimiliano Pontil, Bernd Heisele, Tomaso Poggio: Full-body person recognition system. Pattern Recognition 36(9): 1997-2006 (2003) |
| j5 | | Theodoros Evgeniou, Massimiliano Pontil, Constantine Papageorgiou, Tomaso Poggio: Image Representations and Feature Selection for Multimedia Database Search. IEEE Trans. Knowl. Data Eng. 15(4): 911-920 (2003) |
| c25 | | Massimiliano Pontil: Reproducing kernels and regularization methods in machine learning. ESANN 2003: 185-196 |
| c24 | | Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari: On different ensembles of kernel machines. ESANN 2003: 197-201 |
| 2002 | ||
| c23 |  | Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404 |
| c22 | | Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: A Simple Algorithm for Learning Stable Machines. ECAI 2002: 513-517 |
| c21 | | Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines with Clustering for Training with Very Large Datasets. SETN 2002: 346-354 |
| c20 | | Chikahito Nakajima, Massimiliano Pontil: Maintenance Training of Electric Power Facilities Using Object Recognition by SVM. SVM 2002: 112-119 |
| c19 | | |
| c18 | | |
| 2001 | ||
| c17 | | Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines: Theory and Applications. Machine Learning and Its Applications 2001: 249-257 |
| c16 | | Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63 |
| c15 | | Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258 |
| c14 | | Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso Poggio: Component-based Face Detection. CVPR (1) 2001: 657-662 |
| c13 | | Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio: Categorization by Learning and Combining Object Parts. NIPS 2001: 1239-1245 |
| 2000 | ||
| j4 | | Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio: Regularization Networks and Support Vector Machines. Adv. Comput. Math. 13(1): 1-50 (2000) |
| j3 | | Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio: Statistical Learning Theory: A Primer. International Journal of Computer Vision 38(1): 9-13 (2000) |
| c12 | | Theodoros Evgeniou, Massimiliano Pontil: A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT 2000: 306-315 |
| c11 | | Massimiliano Pontil, Sayan Mukherjee, Federico Girosi: On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324 |
| c10 | | Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso Poggio: Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML 2000: 271-278 |
| c9 | | Chikahito Nakajima, Norihiko Itoh, Massimiliano Pontil, Tomaso Poggio: Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. ICPR 2000: 4787-4790 |
| c8 | | Chikahito Nakajima, Massimiliano Pontil, Tomaso Poggio: People Recognition and Pose Estimation in Image Sequences. IJCNN (4) 2000: 189-196 |
| c7 | | Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674 |
| 1999 | ||
| c6 | | Theodoros Evgeniou, Massimiliano Pontil: On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces. ALT 1999: 106-117 |
| c5 | | Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri: A Note on Support Vector Machine Degeneracy. ALT 1999: 252-263 |
| c4 | | Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou: From regression to classification in support vector machines. ESANN 1999: 225-230 |
| c3 | | N. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri: Support vector machines vs multi-layer perceptrons in particle identification. ESANN 1999: 257-262 |
| 1998 | ||
| j2 | | Massimiliano Pontil, Alessandro Verri: Properties of Support Vector Machines. Neural Computation 10(4): 955-974 (1998) |
| j1 | | Massimiliano Pontil, Alessandro Verri: Support Vector Machines for 3D Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 637-646 (1998) |
| c2 | | Massimiliano Pontil, Stefano Rogai, Alessandro Verri: Recognizing 3-D Objects with Linear Support Vector Machines. ECCV (2) 1998: 469-483 |
| 1997 | ||
| c1 | | Massimiliano Pontil, Alessandro Verri: Direct Aspect-Based 3D Object Recognition. ICIAP (2) 1997: 300-307 |
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