PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Andreas Argyriou

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Number of EPrints submitted by this user: 9

Learning convex combinations of continuously parameterized basic kernels
Andreas Argyriou, Charles A. Micchelli and Massimiliano Pontil
Lecture Notes in Computer Science. Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005. Proceedings Volume 3559, pp. 338-352, 2005. ISSN 0302-9743

Combining Graph Laplacians for Semi--Supervised Learning
Andreas Argyriou, Mark Herbster and Massimiliano Pontil
In: 19th Conference on Neural Information Processing Systems, 5-8 December 2005, Vancouver, Canada.

A DC-Programming Algorithm for Kernel Selection
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli and Massimiliano Pontil
In: 23rd International Conference on Machine Learning, June 25-29, 2006, Pittsburgh, USA.

Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou and Massimiliano Pontil
In: Neural Information Processing Systems, 4-7 Dec 2006, Vancouver, Canada.

Convex Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou and Massimiliano Pontil
Machine Learning 2007.

A Spectral Regularization Framework for Multi-Task Structure Learning
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil and Yiming Ying
In: Advances in Neural Information Processing Systems (NIPS), 3-6 Dec 2007, Vancouver, Canada.

Learning to Integrate Data from Different Sources and Tasks
Andreas Argyriou
(2007) PhD thesis, University College London.

An Algorithm for Transfer Learning in a Heterogeneous Environment
Andreas Maurer and Massimiliano Pontil
In: ECML, Antwerp(2008).

When Is There a Representer Theorem? Vector versus Matrix Regularizers
Andreas Argyriou, Charles Micchelli and Massimiliano Pontil
Journal of Machine Learning Research 2008.