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Dr. Francesco Dinuzzo

Address: Spemannstr. 38
72076 Tübingen
Room number: 226
Fax: +49 7071 601 552
E-Mail: francesco.dinuzzo
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Francesco Dinuzzo

Position: Research Scientist  Unit: Schölkopf

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Articles (11):

Pillonetto G , Dinuzzo F Person, Chen T , De Nicolao G and Ljung L (2014) Kernel methods in system identification, machine learning and function estimation: A survey Automatica 50(3) 657-682.
Varagnolo D , Favero SD , Dinuzzo F Person, Schenato L and Pillonetto G (2013) Finding Potential Support Vectors in Separable Classification Problems IEEE Transactions on Neural Networks and Learning Systems .
Dinuzzo F Person (2013) Learning output kernels for multi-task problems Neurocomputing 118 119-126.
Dinuzzo F Person (2011) Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods IEEE Transactions on Neural Networks 22(10) 1576-1587.
Dinuzzo F Person, Pillonetto G and De Nicolao G (2011) Client–Server Multitask Learning From Distributed Datasets IEEE Transactions on Neural Networks 22(2) 290-303.
Pillonetto G , Dinuzzo F Person and De Nicolao G (2010) Bayesian Online Multitask Learning of Gaussian Processes IEEE Transactions on Pattern Analysis and Machine Intelligence 32(2) 193-205.
Dinuzzo F Person (2010) Learning functional dependencies with kernel methods Scientifica Acta 4(1) MS 16-25.
Dinuzzo F Person and Ferrara A (2009) Finite-time output stabilization with second order sliding modes Automatica 45(9) 2169-2171.
Dinuzzo F Person and Ferrara A (2009) Higher order sliding mode controllers with optimal reaching IEEE Transactions on Automatic Control 54(9) 2126-2136.
Dinuzzo F Person and De Nicolao G (2009) An algebraic characterization of the optimum of regularized kernel methods Machine Learning 74(3) 315-345.
Dinuzzo F Person, Neve M , De Nicolao G and Gianazza UP (2007) On the Representer Theorem and Equivalent Degrees of Freedom of SVR Journal of Machine Learning Research 8 2467-2495.

Conference papers (10):

Argyriou A and Dinuzzo F Person (2014) A unifying view of representer theorems In: Proceedings of the 31th International Conference on Machine Learning, JMLR: W&CP volume 32, ICML 2014.
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Dinuzzo F Person, Ong CS Person and Fukumizu K Person (2013) Output Kernel Learning Methods In: International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications, ROKS 2013.
Persello C Person and Dinuzzo F Person (2012) Interactive Domain Adaptation Technique for the Classification of Remote Sensing Images IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012), IEEE.
Muandet K Person, Fukumizu K Person, Dinuzzo F Person and Schölkopf B Person (2012) Learning from distributions via support measure machines In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett, FCN Pereira, CJC. Burges, L Bottou and KQ Weinberger, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Curran Associates Inc., 10--18.
Dinuzzo F Person and Schölkopf B Person (2012) The representer theorem for Hilbert spaces: a necessary and sufficient condition In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett, FCN Pereira, CJC. Burges, L Bottou and KQ Weinberger, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Curran Associates Inc., 189--196.
Del Favero S , Varagnolo D , Dinuzzo F Person, Schenato L and Pillonetto G (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.
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Dinuzzo F Person and Fukumizu K Person (2011) Learning low-rank output kernels In: JMLR Workshop and Conference Proceedings Volume 20, (Ed) Hsu, C.-N. , W.S. Lee, 3rd Asian Conference on Machine Learning (ACML 2011), JMLR, Cambridge, MA, USA, 181-196.
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Dinuzzo F Person, Ong CS Person, Gehler PV Person and Pillonetto G (2011) Learning output kernels with block coordinate descent (Ed) Getoor, L. , T. Scheffer, 28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 49-56.
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Dinuzzo F Person (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 Person and De Nicolao G (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 Person and De Nicolao G : Some comments on ν-SVM, -. In: A tribute to Antonio Lepschy, (Ed) Picci, G. , M. E. Valcher, Edizione Libreria Progetto, Padova, Italy, (2007).

Posters (1):

Muandet K Person, Fukumizu K Person, Dinuzzo F Person and Schölkopf B Person (2012): Learning from Distributions via Support Measure Machines, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada, USA.
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Theses (1):

Dinuzzo F Person: Learning functions with kernel methods, University of Pavia, (2011). PhD thesis
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