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Francesco Dinuzzo

Address:	Spemannstr. 38 72076 Tübingen
Room number:	213
Phone:	+49 7071 601 569
Fax:	+49 7071 601 552
E-Mail:	francesco.dinuzzo

Francesco Dinuzzo

Position: Postdoctoral Fellow Unit: Schölkopf

Overview
Curriculum Vitae
Publications

Please visit my personal web page.

Research

11/2010-03/2011: Visiting researcher at Institute of Statistical Mathematics, Tokyo, Japan.
11/2007-01/2011: PhD student in Mathematics and Statistics, University of Pavia, Italy.
5/2010-10/2010: Academic guest at Machine Learning Laboratory, ETH Zürich, Switzerland.
07/2009-09/2009: Visitor at Machine Learning Group, National Taiwan University, Taipei, Taiwan.
01/2009-06/2009: Visiting student at Center of Biological and Computational Learning, MIT, Cambridge (MA), USA.

Education

01/2011 PhD in Mathematics and Statistics, University of Pavia, Italy.
10/2007 M.S. Degree. IUSS Corsi Ordinari Diploma. Istituto Universitario di Studi Superiori, Pavia, Italy.
07/2007 M.S. Degree (Computer Science Engineering) 110/110 et laude, University of Pavia, Italy.
09/2005 Laurea degree (Computer Science Engineering) 110/110 et laude, University of Pavia, Italy.
09/2002 Conservatory of music diploma (Clarinet). Conservatory of Matera, Italy.

Reviewing

Journal of Machine Learning Research,
Machine Learning,
IEEE Transactions on Neural Networks,
IEEE Transactions on Automatic Control,
Neural Networks,
Automatica,
International Journal of Control,
International Journal of Adaptive Control and Signal Processing
Journal of Circuits, Systems and Signal Processing,
American Control Conference,
IFAC Symposium on System Identification,
IEEE Conference on Decision and Control,
Neural Information Processing Systems (NIPS) conference.

Teaching

At faculty of Engineering, University of Pavia:

2008-2009 Calculus A.
2007-2008 System Identification and Data Analysis LS.
2004-2007 Mathematics for new-enrolled students course.
2003-2006 (Tutorato) Linear Algebra and Analytic Geometry.

Articles (8):
•	Dinuzzo F (October-2011) Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods IEEE Transactions on Neural Networks 22(10) 1576-1587.
•	Dinuzzo F , Pillonetto G and De Nicolao G (February-2011) Client–Server Multitask Learning From Distributed Datasets IEEE Transactions on Neural Networks 22(2) 290-303.
•	Pillonetto G , Dinuzzo F and De Nicolao G (February-2010) Bayesian Online Multitask Learning of Gaussian Processes IEEE Transactions on Pattern Analysis and Machine Intelligence 32(2) 193-205.
•	Dinuzzo F (February-2010) Learning functional dependencies with kernel methods Scientifica Acta 4(1) MS 16-25.
•	Dinuzzo F and Ferrara A (September-2009) Finite-time output stabilization with second order sliding modes Automatica 45(9) 2169-2171.
•	Dinuzzo F and Ferrara A (September-2009) Higher order sliding mode controllers with optimal reaching IEEE Transactions on Automatic Control 54(9) 2126-2136.
•	Dinuzzo F and De Nicolao G (March-2009) An algebraic characterization of the optimum of regularized kernel methods Machine Learning 74(3) 315-345.
•	Dinuzzo F , Neve M , De Nicolao G and Gianazza UP (October-2007) On the Representer Theorem and Equivalent Degrees of Freedom of SVR Journal of Machine Learning Research 8 2467-2495.
Conference papers (5):
•	Del Favero S , Varagnolo D , Dinuzzo F , Schenato L and Pillonetto G (December-2011) On the discardability of data in Support Vector Classification problems 50th IEEE Conference on Decision and Control and European Control Conference (CDC - ECC 2011), IEEE, Piscataway, NJ, USA, 3210-3215.
•	Dinuzzo F and Fukumizu K (November-2011) Learning low-rank output kernels In: JMLR Workshop and Conference Proceedings Volume 20, 3rd Asian Conference on Machine Learning (ACML 2011), JMLR, Cambridge, MA, USA, 181-196.
•	Dinuzzo F , Ong CS , Gehler PV and Pillonetto G (July-2011) Learning output kernels with block coordinate descent 28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 49-56.
•	Dinuzzo F (December-2009) A second order sliding mode controller with polygonal constraints 48th IEEE Conference on Decision and Control (CDC 2009), IEEE, Piscataway, NJ, USA, 6715-6719.
•	Pillonetto G , Dinuzzo F and De Nicolao G (June-2008) Bayesian online multi-task learning using regularization networks 2008 American Control Conference (ACC 2008), IEEE Service Center, Piscataway, NJ, USA, 4517-4522.
Contributions to books (1):
•	Dinuzzo F and De Nicolao G : Some comments on ν-SVM, -. In: A tribute to Antonio Lepschy, (Ed) G. Picci, Edizione Libreria Progetto, Padova, Italy, (2007).
Theses (1):
•	Dinuzzo F : Learning functions with kernel methods, University of Pavia, (January-9-2011). PhD thesis