ML Anthology

Argyriou, Andreas

14 publications

MLJ 2015 Convex Relaxations of Penalties for Sparse Correlated Variables with Bounded Total Variation Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew B. Blaschko
ICML 2014 A Unifying View of Representer Theorems Andreas Argyriou, Francesco Dinuzzo
AISTATS 2012 A General Framework for Structured Sparsity via Proximal Optimization Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil
AISTATS 2012 Exploiting Unrelated Tasks in Multi-Task Learning Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil
NeurIPS 2012 Sparse Prediction with the $k$-Support Norm Andreas Argyriou, Rina Foygel, Nathan Srebro
JMLR 2010 On Spectral Learning Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
JMLR 2009 When Is There a Representer Theorem? Vector Versus Matrix Regularizers Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
ECML-PKDD 2008 An Algorithm for Transfer Learning in a Heterogeneous Environment Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
MLJ 2008 Convex Multi-Task Feature Learning Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning Andreas Argyriou, Massimiliano Pontil, Yiming Ying, Charles A. Micchelli
ICML 2006 A DC-Programming Algorithm for Kernel Selection Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil
NeurIPS 2006 Multi-Task Feature Learning Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
NeurIPS 2005 Combining Graph Laplacians for Semi--Supervised Learning Andreas Argyriou, Mark Herbster, Massimiliano Pontil
COLT 2005 Learning Convex Combinations of Continuously Parameterized Basic Kernels Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil