Lorenzo Rosasco - Publications

Affiliations: 
Università di Genova, Genova, Liguria, Italy 
Area:
Computation, Machine learning, Statistical learning theory, problem of learning from small samples of high dimensional data
Website:
http://videolectures.net/lorenzo_rosasco/

50 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Rosasco L, Villa S, Vũ BC. A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions Optimization. 1-22. DOI: 10.1080/02331934.2015.1127371  0.92
2015 Breschi GL, Ciliberto C, Nieus T, Rosasco L, Taverna S, Chiappalone M, Pasquale V. Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig. Computational Intelligence and Neuroscience. 2015: 359590. PMID 26290660 DOI: 10.1155/2015/359590  0.92
2014 Mroueh Y, Rosasco L. On efficiency and low sample complexity in phase retrieval Ieee International Symposium On Information Theory - Proceedings. 931-935. DOI: 10.1109/ISIT.2014.6874969  0.92
2014 Ciliberto C, Fiorio L, Maggiali M, Natale L, Rosasco L, Metta G, Sandini G, Nori F. Exploiting global force torque measurements for local compliance estimation in tactile arrays Ieee International Conference On Intelligent Robots and Systems. 3994-3999. DOI: 10.1109/IROS.2014.6943124  0.92
2014 Zhang C, Evangelopoulos G, Voinea S, Rosasco L, Poggio T. A deep representation for invariance and music classification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6984-6988. DOI: 10.1109/ICASSP.2014.6854954  0.92
2014 Anselmi F, Leibo JZ, Rosasco L, Mutch J, Tacchetti A, Poggio T. Unsupervised learning of invariant representations Theoretical Computer Science. DOI: 10.1016/j.tcs.2015.06.048  0.92
2014 De Vito E, Rosasco L, Toigo A. Learning sets with separating kernels Applied and Computational Harmonic Analysis. 37: 185-217. DOI: 10.1016/j.acha.2013.11.003  0.92
2014 Villa S, Rosasco L, Mosci S, Verri A. Proximal methods for the latent group lasso penalty Computational Optimization and Applications. 58: 381-407. DOI: 10.1007/s10589-013-9628-6  0.92
2014 Voinea S, Zhang C, Evangelopoulos G, Rosasco L, Poggio T. Word-level invariant representations from acoustic waveforms Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2385-2389.  0.92
2014 Zhang C, Voinea S, Evangelopoulos G, Rosasco L, Poggio T. Phone classification by a hierarchy of invariant representation layers Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2346-2350.  0.92
2013 Ciliberto C, Fanello SR, Santoro M, Natale L, Metta G, Rosasco L. On the impact of learning hierarchical representations for visual recognition in robotics Ieee International Conference On Intelligent Robots and Systems. 3759-3764. DOI: 10.1109/IROS.2013.6696893  0.92
2013 Fanello SR, Ciliberto C, Santoro M, Natale L, Metta G, Rosasco L, Odone F. ICub world: Friendly robots help building good vision data-sets Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 700-705. DOI: 10.1109/CVPRW.2013.106  0.92
2013 Villa S, Rosasco L, Poggio T. On learnability, complexity and stability Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. 59-69. DOI: 10.1007/978-3-642-41136-6_7  0.92
2013 Tacchetti A, Mallapragada PK, Rosasco L, Santoro M. Gurls: A least squares library for supervised learning Journal of Machine Learning Research. 14: 3201-3205.  0.92
2013 Rosasco L, Villa S, Mosci S, Santoro M, Verri A. Nonparametric sparsity and regularization Journal of Machine Learning Research. 14: 1665-1714.  0.92
2013 Rudi A, Canas GD, Rosasco L. On the sample complexity of subspace learning Advances in Neural Information Processing Systems 0.92
2012 Mosci S, Rosasco L, Santoro M, Verri A, Villa S. Is there sparsity beyond additive models? Ifac Proceedings Volumes (Ifac-Papersonline). 16: 971-976. DOI: 10.3182/20120711-3-BE-2027.00364  0.92
2012 Villa S, Rosasco L, Mosci S, Verri A. Consistency of learning algorithms using Attouch-Wets convergence Optimization. 61: 287-305. DOI: 10.1080/02331934.2010.511671  0.92
2012 Baldassarre L, Rosasco L, Barla A, Verri A. Multi-output learning via spectral filtering Machine Learning. 87: 259-301. DOI: 10.1007/s10994-012-5282-y  0.92
2012 Mroueh Y, Poggio T, Rosasco L, Slotine JJE. Multiclass learning with simplex coding Advances in Neural Information Processing Systems. 4: 2789-2797.  0.92
2012 Canas GD, Poggio T, Rosasco LA. Learning manifolds with k-means and k-flats Advances in Neural Information Processing Systems. 3: 2465-2473.  0.92
2012 Canas GD, Rosasco LA. Learning probability measures with respect to optimal transport metrics Advances in Neural Information Processing Systems. 4: 2492-2500.  0.92
2011 Álvarez MA, Rosasco L, Lawrence ND. Kernels for vector-valued functions: A review Foundations and Trends in Machine Learning. 4: 195-266. DOI: 10.1561/2200000036  0.92
2010 Fardin P, Cornero A, Barla A, Mosci S, Acquaviva M, Rosasco L, Gambini C, Verri A, Varesio L. Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction. Journal of Biomedicine & Biotechnology. 2010: 878709. PMID 20652058 DOI: 10.1155/2010/878709  0.92
2010 Fardin P, Barla A, Mosci S, Rosasco L, Verri A, Versteeg R, Caron HN, Molenaar JJ, Ora I, Eva A, Puppo M, Varesio L. A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients. Molecular Cancer. 9: 185. PMID 20624283 DOI: 10.1186/1476-4598-9-185  0.92
2010 de Vito E, Pereverzyev S, Rosasco L. Adaptive kernel methods using the balancing principle Foundations of Computational Mathematics. 10: 455-479. DOI: 10.1007/s10208-010-9064-2  0.92
2010 Smale S, Rosasco L, Bouvrie J, Caponnetto A, Poggio T. Mathematics of the neural response Foundations of Computational Mathematics. 10: 67-91. DOI: 10.1007/s10208-009-9049-1  0.92
2010 Mosci S, Rosasco L, Santoro M, Verri A, Villa S. Solving structured sparsity regularization with proximal methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6322: 418-433. DOI: 10.1007/978-3-642-15883-4_27  0.92
2010 Baldassarre L, Rosasco L, Barla A, Verri A. Vector field learning via spectral filtering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6321: 56-71. DOI: 10.1007/978-3-642-15880-3_10  0.92
2010 Mosci S, Villa S, Verri A, Rosasco L. A primal-dual algorithm for group sparse regularization with overlapping groups Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.92
2010 Rosasco L, Santoro M, Mosci S, Verri A, Villa S. A regularization approach to nonlinear variable selection Journal of Machine Learning Research. 9: 653-660.  0.92
2010 De Vito E, Rosasco L, Toigo A. Spectral regularization for support estimation Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.92
2010 Rosasco L, Belkin M, De Vito E. On learning with integral operators Journal of Machine Learning Research. 11: 905-934.  0.92
2009 Fardin P, Barla A, Mosci S, Rosasco L, Verri A, Varesio L. The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines. Bmc Genomics. 10: 474. PMID 19832978 DOI: 10.1186/1471-2164-10-474  0.92
2009 De Mol C, De Vito E, Rosasco L. Elastic-net regularization in learning theory Journal of Complexity. 25: 201-230. DOI: 10.1016/j.jco.2009.01.002  0.92
2009 Noceti N, Caputo B, Castellini C, Baldassarre L, Barla A, Rosasco L, Odone F, Sandini G. Towards a theoretical framework for learning multi-modal patterns for embodied agents Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5716: 239-248. DOI: 10.1007/978-3-642-04146-4_27  0.92
2009 Rosasco L, Belkin M, De Vito E. A note on learning with integral operators Colt 2009 - the 22nd Conference On Learning Theory 0.92
2009 Bouvrie J, Rosasco L, Poggio T. On invariance in hierarchical models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 162-170.  0.92
2008 Lo Gerfo L, Rosasco L, Odone F, De Vito E, Verri A. Spectral algorithms for supervised learning. Neural Computation. 20: 1873-97. PMID 18254698 DOI: 10.1162/neco.2008.05-07-517  0.92
2008 Mosci S, Verri A, Barla A, Rosasco L. Finding structured gene signatures Proceedings - 2008 Ieee International Conference On Bioinformatics and Biomedicine Workshops, Bibmw. 158-165. DOI: 10.1109/BIBMW.2008.4686230  0.92
2008 Barla A, Mosci S, Rosasco L, Verri A. A method for robust variable selection with significance assessment Esann 2008 Proceedings, 16th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning. 83-88.  0.92
2007 Mosci S, Rosasco L, Verri A. Dimensionality reduction and generalization Acm International Conference Proceeding Series. 227: 657-664. DOI: 10.1145/1273496.1273579  0.92
2007 Bauer F, Pereverzev S, Rosasco L. On regularization algorithms in learning theory Journal of Complexity. 23: 52-72. DOI: 10.1016/j.jco.2006.07.001  0.92
2007 Yao Y, Rosasco L, Caponnetto A. On early stopping in gradient descent learning Constructive Approximation. 26: 289-315. DOI: 10.1007/s00365-006-0663-2  0.92
2007 Caponnetto A, Rosasco L, Odone F, Verri A. Support vectors algorithms as regularization networks Esann 2005 Proceedings - 13th European Symposium On Artificial Neural Networks. 595-600.  0.92
2005 De Vito E, Caponnetto A, Rosasco L. Model selection for regularized least-squares algorithm in learning theory Foundations of Computational Mathematics. 5: 59-85. DOI: 10.1007/s10208-004-0134-1  0.92
2005 De Vito E, Rosasco L, Caponnetto A, De Giovannini U, Odone F. Learning from examples as an inverse problem Journal of Machine Learning Research. 6.  0.92
2005 Rosasco L, Caponnetto A, De Vito E, De Giovannini U, Odone F. Learning, regularization and ill-posed inverse problems Advances in Neural Information Processing Systems 0.92
2004 Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A. Are loss functions all the same? Neural Computation. 16: 1063-76. PMID 15070510 DOI: 10.1162/089976604773135104  0.92
2004 De Vito E, Rosasco L, Caponnetto A, Piana M, Verri A. Some properties of regularized kernel methods Journal of Machine Learning Research. 5: 1363-1390.  0.92
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