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 data
Website:
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)
 
SNBCP
Cross-listing: MathTree

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Publications

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Rosasco L, Villa S, Vũ BC. (2016) A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions Optimization. 1-22
Breschi GL, Ciliberto C, Nieus T, et al. (2015) Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig. Computational Intelligence and Neuroscience. 2015: 359590
Mroueh Y, Rosasco L. (2014) On efficiency and low sample complexity in phase retrieval Ieee International Symposium On Information Theory - Proceedings. 931-935
Ciliberto C, Fiorio L, Maggiali M, et al. (2014) Exploiting global force torque measurements for local compliance estimation in tactile arrays Ieee International Conference On Intelligent Robots and Systems. 3994-3999
Zhang C, Evangelopoulos G, Voinea S, et al. (2014) A deep representation for invariance and music classification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6984-6988
Anselmi F, Leibo JZ, Rosasco L, et al. (2014) Unsupervised learning of invariant representations Theoretical Computer Science
De Vito E, Rosasco L, Toigo A. (2014) Learning sets with separating kernels Applied and Computational Harmonic Analysis. 37: 185-217
Villa S, Rosasco L, Mosci S, et al. (2014) Proximal methods for the latent group lasso penalty Computational Optimization and Applications. 58: 381-407
Voinea S, Zhang C, Evangelopoulos G, et al. (2014) Word-level invariant representations from acoustic waveforms Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2385-2389
Zhang C, Voinea S, Evangelopoulos G, et al. (2014) Phone classification by a hierarchy of invariant representation layers Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2346-2350
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