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All publications by Andreas Argyriou
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A Unifying View of Representer Theorems
Andreas Argyriou and Francesco Dinuzzo
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel and Nathan Srebro
Advances in Neural Information Processing Systems 25, 2012


Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera-paredes, Andreas Argyriou, Nadia Berthouze and Massimiliano Pontil
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou and Massimiliano Pontil
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


When Is There a Representer Theorem? Vector Versus Matrix Regularizers
Andreas Argyriou, Charles A. Micchelli and Massimiliano Pontil
Journal of Machine Learning Research, 2009


A Spectral Regularization Framework for Multi-Task Structure Learning
Andreas Argyriou, Massimiliano Pontil, Yiming Ying and Charles A. Micchelli
Advances in Neural Information Processing Systems 20, 2007


A DC-programming algorithm for kernel selection
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli and Massimiliano Pontil
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou and Massimiliano Pontil
Advances in Neural Information Processing Systems 19, 2006


Combining Graph Laplacians for Semi--Supervised Learning
Andreas Argyriou, Mark Herbster and Massimiliano Pontil
Advances in Neural Information Processing Systems 18, 2005