Andreas Argyriou

Publication Activity (10 Years)

Years Active: 2005-2020
Publications (10 Years): 2

Top Venues

CoRR

AISTATS

Mach. Learn.

KDD

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel González-Fierro, Andreas Argyriou, Tao Wu
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19. KDD (2020)
Andreas Argyriou, Miguel González-Fierro, Le Zhang
Microsoft Recommenders: Best Practices for Production-Ready Recommendation Systems. WWW (Companion Volume) (2020)
Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew B. Blaschko
Convex relaxations of penalties for sparse correlated variables with bounded total variation. Mach. Learn. 100 (2-3) (2015)
Andreas Argyriou, Marco Signoretto, Johan A. K. Suykens
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization. CoRR (2014)
Andreas Argyriou, Francesco Dinuzzo
A Unifying View of Representer Theorems. ICML (2014)
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
On Sparsity Inducing Regularization Methods for Machine Learning. Empirical Inference (2013)
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
On Sparsity Inducing Regularization Methods for Machine Learning CoRR (2013)
Andreas Argyriou, Rina Foygel, Nathan Srebro
Sparse Prediction with the $k$-Support Norm. NIPS (2012)
Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil
Exploiting Unrelated Tasks in Multi-Task Learning. AISTATS (2012)
Francesco Orabona, Andreas Argyriou, Nathan Srebro
PRISMA: PRoximal Iterative SMoothing Algorithm CoRR (2012)
Andreas Argyriou, Rina Foygel, Nathan Srebro
Sparse Prediction with the k-Overlap Norm CoRR (2012)
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil
A General Framework for Structured Sparsity via Proximal Optimization. AISTATS (2012)
Emile Richard, Andreas Argyriou, Theodoros Evgeniou, Nicolas Vayatis
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs CoRR (2012)
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Lixin Shen, Yuesheng Xu
Efficient First Order Methods for Linear Composite Regularizers CoRR (2011)
Andreas Argyriou, Luca Baldassarre, Jean Morales, Massimiliano Pontil
A General Framework for Structured Sparsity via Proximal Optimization CoRR (2011)
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
On Spectral Learning. J. Mach. Learn. Res. 11 (2010)
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
When Is There a Representer Theorem? Vector Versus Matrix Regularizers. J. Mach. Learn. Res. 10 (2009)
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
Convex multi-task feature learning. Mach. Learn. 73 (3) (2008)
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
When is there a representer theorem? Vector versus matrix regularizers CoRR (2008)
Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) (2008)
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying
A Spectral Regularization Framework for Multi-Task Structure Learning. NIPS (2007)
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
Multi-Task Feature Learning. NIPS (2006)
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil
A DC-programming algorithm for kernel selection. ICML (2006)
Andreas Argyriou, Mark Herbster, Massimiliano Pontil
Combining Graph Laplacians for Semi-Supervised Learning. NIPS (2005)
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
Learning Convex Combinations of Continuously Parameterized Basic Kernels. COLT (2005)

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Publication Activity (10 Years)

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Andreas Argyriou