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/

50/77 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
2020 Anselmi F, Patel A, Rosasco L. Neurally plausible mechanisms for learning selective and invariant representations. Journal of Mathematical Neuroscience. 10: 12. PMID 32809093 DOI: 10.1186/s13408-020-00088-7  0.408
2020 Garrigos G, Rosasco L, Villa S. Thresholding gradient methods in Hilbert spaces: support identification and linear convergence Esaim: Control, Optimisation and Calculus of Variations. 26: 28. DOI: 10.1051/Cocv/2019011  0.387
2020 Lin J, Rudi A, Rosasco L, Cevher V. Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces Applied and Computational Harmonic Analysis. 48: 868-890. DOI: 10.1016/J.Acha.2018.09.009  0.362
2019 Pasquale G, Ciliberto C, Odone F, Rosasco L, Natale L. Are we done with object recognition? The iCub robot’s perspective Robotics and Autonomous Systems. 112: 260-281. DOI: 10.1016/J.Robot.2018.11.001  0.322
2019 Anselmi F, Evangelopoulos G, Rosasco L, Poggio TA. Symmetry-adapted representation learning Pattern Recognition. 86: 201-208. DOI: 10.1016/J.Patcog.2018.07.025  0.608
2019 Rosasco L, Villa S, Vũ BC. Convergence of Stochastic Proximal Gradient Algorithm Applied Mathematics and Optimization. 1-27. DOI: 10.1007/S00245-019-09617-7  0.379
2018 Lin J, Rosasco L. Generalization properties of doubly stochastic learning algorithms Journal of Complexity. 47: 42-61. DOI: 10.1016/J.Jco.2018.02.004  0.436
2018 Garrigos G, Rosasco L, Villa S. Iterative Regularization via Dual Diagonal Descent Journal of Mathematical Imaging and Vision. 60: 189-215. DOI: 10.1007/S10851-017-0754-0  0.388
2018 Lin J, Rosasco L, Villa S, Zhou D. Modified Fejér sequences and applications Computational Optimization and Applications. 71: 95-113. DOI: 10.1007/S10589-017-9962-1  0.364
2017 Rosasco L, Villa S, Vu BC. A First-Order Stochastic Primal-Dual Algorithm with Correction Step Numerical Functional Analysis and Optimization. 38: 602-626. DOI: 10.1080/01630563.2016.1254243  0.335
2017 Poggio TA, Mhaskar H, Rosasco L, Miranda B, Liao Q. Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review International Journal of Automation and Computing. 14: 503-519. DOI: 10.1007/S11633-017-1054-2  0.564
2016 Anselmi F, Rosasco L, Poggio TA. On invariance and selectivity in representation learning Information and Inference: a Journal of the Ima. 5: 134-158. DOI: 10.1093/Imaiai/Iaw009  0.605
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  0.372
2016 Rosasco L, Villa S, Vũ BC. Stochastic Forward–Backward Splitting for Monotone Inclusions Journal of Optimization Theory and Applications. 169: 388-406. DOI: 10.1007/s10957-016-0893-2  0.343
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  0.325
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  0.474
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  0.735
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  0.435
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  0.582
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.  0.436
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.  0.412
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  0.391
2013 Rosasco L, Villa S, Mosci S, Santoro M, Verri A. Nonparametric sparsity and regularization Journal of Machine Learning Research. 14: 1665-1714.  0.48
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  0.607
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  0.608
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  0.61
2012 Mroueh Y, Poggio T, Rosasco L, Slotine JJE. Multiclass learning with simplex coding Advances in Neural Information Processing Systems. 4: 2789-2797.  0.494
2012 Canas GD, Poggio T, Rosasco LA. Learning manifolds with k-means and k-flats Advances in Neural Information Processing Systems. 3: 2465-2473.  0.456
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  0.51
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  0.437
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  0.378
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  0.506
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  0.457
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  0.497
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.  0.428
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 0.464
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  0.533
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  0.397
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.  0.409
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  0.614
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  0.411
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.  0.437
2007 Mosci S, Rosasco L, Verri A. Dimensionality reduction and generalization Acm International Conference Proceeding Series. 227: 657-664. DOI: 10.1145/1273496.1273579  0.431
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  0.464
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  0.433
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.  0.476
2006 Vito ED, Rosasco L, Caponnetto A. Discretization Error Analysis For Tikhonov Regularization Analysis and Applications. 4: 81-99. DOI: 10.1142/S0219530506000711  0.37
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  0.405
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  0.514
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.  0.464
Low-probability matches (unlikely to be authored by this person)
2017 Little AV, Maggioni M, Rosasco L. Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature Applied and Computational Harmonic Analysis. 43: 504-567. DOI: 10.1016/J.ACHA.2015.09.009  0.294
2022 Letizia M, Losapio G, Rando M, Grosso G, Wulzer A, Pierini M, Zanetti M, Rosasco L. Learning new physics efficiently with nonparametric methods. The European Physical Journal. C, Particles and Fields. 82: 879. PMID 36212113 DOI: 10.1140/epjc/s10052-022-10830-y  0.29
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.  0.283
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 0.279
2016 Pasquale G, Mar T, Ciliberto C, Rosasco L, Natale L. Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives Frontiers in Robotics and Ai. 3: 35. DOI: 10.3389/Frobt.2016.00035  0.279
2020 Maiettini E, Pasquale G, Rosasco L, Natale L. On-line object detection: a robotics challenge Autonomous Robots. 44: 739-757. DOI: 10.1007/S10514-019-09894-9  0.273
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.  0.268
2020 Lu X, Rudi A, Borgonovo E, Rosasco L. Faster kriging: facing high-dimensional simulators Operations Research. 68: 233-249. DOI: 10.1287/Opre.2019.1860  0.256
2020 Cecini E, Vito ED, Rosasco L. Multi-Scale Vector Quantization with Reconstruction Trees Information and Inference: a Journal of the Ima. DOI: 10.1093/Imaiai/Iaa004  0.238
2020 Vito ED, Mucke N, Rosasco L. Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces Analysis and Applications. DOI: 10.1142/S0219530520400114  0.237
2013 Rudi A, Canas GD, Rosasco L. On the sample complexity of subspace learning Advances in Neural Information Processing Systems 0.235
2009 Rosasco L, Belkin M, De Vito E. A note on learning with integral operators Colt 2009 - the 22nd Conference On Learning Theory 0.217
2010 Rosasco L, Belkin M, De Vito E. On learning with integral operators Journal of Machine Learning Research. 11: 905-934.  0.215
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  0.215
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  0.198
2023 Maracani A, Pastore VP, Natale L, Rosasco L, Odone F. In-domain versus out-of-domain transfer learning in plankton image classification. Scientific Reports. 13: 10443. PMID 37369770 DOI: 10.1038/s41598-023-37627-7  0.196
2020 Duan A, Camoriano R, Ferigo D, Huang Y, Calandriello D, Rosasco L, Pucci D. Learning to Avoid Obstacles With Minimal Intervention Control. Frontiers in Robotics and Ai. 7: 60. PMID 33501228 DOI: 10.3389/frobt.2020.00060  0.19
2012 Canas GD, Rosasco LA. Learning probability measures with respect to optimal transport metrics Advances in Neural Information Processing Systems. 4: 2492-2500.  0.188
2009 Del Bono V, Mularoni A, Furfaro E, Delfino E, Rosasco L, Miletich F, Viscoli C. Clinical evaluation of a (1,3)-beta-D-glucan assay for presumptive diagnosis of Pneumocystis jiroveci pneumonia in immunocompromised patients. Clinical and Vaccine Immunology : Cvi. 16: 1524-6. PMID 19692624 DOI: 10.1128/CVI.00276-09  0.185
2022 Rigolli N, Magnoli N, Rosasco L, Seminara A. Learning to predict target location with turbulent odor plumes. Elife. 11. PMID 35959726 DOI: 10.7554/eLife.72196  0.122
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  0.092
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 0.071
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  0.069
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  0.056
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  0.024
1974 Rosasco LC. Of nursing practice and nurse practitioners. Hospitals. 48: 107-10. PMID 4832287  0.01
1974 Rosasco LC. Collective bargaining: what's a director of nursing to do? Hospitals. 48: 79-80, 82-3, 113. PMID 4416955  0.01
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