Andreas Argyriou

26 papers A* 4A 2Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2020 A* conf
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19.
KDD
Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel González-Fierro, Andreas Argyriou, Tao Wu
2020 — conf
Microsoft Recommenders: Best Practices for Production-Ready Recommendation Systems.
WWW (Companion Volume)
Andreas Argyriou, Miguel González-Fierro, Le Zhang
2015 J jnl
Convex relaxations of penalties for sparse correlated variables with bounded total variation.
Mach. Learn.
Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew B. Blaschko
2014 A* conf
A Unifying View of Representer Theorems.
ICML
Andreas Argyriou, Francesco Dinuzzo
2014 J jnl
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization.
CoRR
Andreas Argyriou, Marco Signoretto, Johan A. K. Suykens
2013 J jnl
On Sparsity Inducing Regularization Methods for Machine Learning
CoRR
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
2013 — conf
On Sparsity Inducing Regularization Methods for Machine Learning.
Empirical Inference
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
2012 A conf
A General Framework for Structured Sparsity via Proximal Optimization.
AISTATS
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil
2012 J jnl
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs
CoRR
Emile Richard, Andreas Argyriou, Theodoros Evgeniou, Nicolas Vayatis
2012 A conf
Exploiting Unrelated Tasks in Multi-Task Learning.
AISTATS
Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil
2012 J jnl
PRISMA: PRoximal Iterative SMoothing Algorithm
CoRR
Francesco Orabona, Andreas Argyriou, Nathan Srebro
2012 — conf
Sparse Prediction with the $k$-Support Norm.
NIPS
Andreas Argyriou, Rina Foygel, Nathan Srebro
2012 J jnl
Sparse Prediction with the k-Overlap Norm
CoRR
Andreas Argyriou, Rina Foygel, Nathan Srebro
2011 J jnl
A General Framework for Structured Sparsity via Proximal Optimization
CoRR
Andreas Argyriou, Luca Baldassarre, Jean Morales, Massimiliano Pontil
2011 J jnl
Efficient First Order Methods for Linear Composite Regularizers
CoRR
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Lixin Shen, Yuesheng Xu
2010 J jnl
On Spectral Learning.
J. Mach. Learn. Res.
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
2009 J jnl
When Is There a Representer Theorem? Vector Versus Matrix Regularizers.
J. Mach. Learn. Res.
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
2008 — conf
An Algorithm for Transfer Learning in a Heterogeneous Environment.
ECML/PKDD (1)
Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
2008 J jnl
Convex multi-task feature learning.
Mach. Learn.
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
2008 — —
Learning to integrate data from different sources and tasks.
Andreas Argyriou
2008 J jnl
When is there a representer theorem? Vector versus matrix regularizers
CoRR
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
2007 — conf
A Spectral Regularization Framework for Multi-Task Structure Learning.
NIPS
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying
2006 A* conf
A DC-programming algorithm for kernel selection.
ICML
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil
2006 — conf
Multi-Task Feature Learning.
NIPS
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
2005 — conf
Combining Graph Laplacians for Semi-Supervised Learning.
NIPS
Andreas Argyriou, Mark Herbster, Massimiliano Pontil
2005 A* conf
Learning Convex Combinations of Continuously Parameterized Basic Kernels.
COLT
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil