Lorenzo Rosasco
Affiliations: | Università di Genova, Genova, Liguria, Italy |
Area:
Computation, Machine learning, Statistical learning theory, problem of learning from small samples of high dimensional dataWebsite:
http://videolectures.net/lorenzo_rosasco/Google:
"Lorenzo Rosasco"Bio:
I got my master degree in physics from the University of Genova and my major was signal processing and cybernetics. My master thesis, supervised by Alessandro Verri and entitled "On the choice of the regularization parameter in learning theory", considered the problem of parameter tuning for support vector machines classification.
After graduation I worked as a consultant in the start-up slam - statistical learning applied to markets, dealing with statistical models for financial data.
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Mean distance: 13.99 (cluster 29) | S | N | B | C | P |
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Publications
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Rando M, James M, Verri A, et al. (2024) Q-Learning to navigate turbulence without a map. Arxiv |
Anselmi F, Patel A, Rosasco L. (2020) Neurally plausible mechanisms for learning selective and invariant representations. Journal of Mathematical Neuroscience. 10: 12 |
Garrigos G, Rosasco L, Villa S. (2020) Thresholding gradient methods in Hilbert spaces: support identification and linear convergence Esaim: Control, Optimisation and Calculus of Variations. 26: 28 |
Lin J, Rudi A, Rosasco L, et al. (2020) Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces Applied and Computational Harmonic Analysis. 48: 868-890 |
Pasquale G, Ciliberto C, Odone F, et al. (2019) Are we done with object recognition? The iCub robot’s perspective Robotics and Autonomous Systems. 112: 260-281 |
Anselmi F, Evangelopoulos G, Rosasco L, et al. (2019) Symmetry-adapted representation learning Pattern Recognition. 86: 201-208 |
Rosasco L, Villa S, Vũ BC. (2019) Convergence of Stochastic Proximal Gradient Algorithm Applied Mathematics and Optimization. 1-27 |
Lin J, Rosasco L. (2018) Generalization properties of doubly stochastic learning algorithms Journal of Complexity. 47: 42-61 |
Garrigos G, Rosasco L, Villa S. (2018) Iterative Regularization via Dual Diagonal Descent Journal of Mathematical Imaging and Vision. 60: 189-215 |
Lin J, Rosasco L, Villa S, et al. (2018) Modified Fejér sequences and applications Computational Optimization and Applications. 71: 95-113 |