Learning Convex Combinations of Continuously Parameterized Basic Kernels. - Andreas Argyriou; Charles A. Micchelli; Massimiliano Pontil (COLT, 2005)

Combining Graph Laplacians for Semi-Supervised Learning. - Andreas Argyriou; Mark Herbster; Massimiliano Pontil (NIPS, 2005)

A DC-programming algorithm for kernel selection. - Andreas Argyriou; Raphael Hauser; Charles A. Micchelli; Massimiliano Pontil (ICML, 2006)

Multi-Task Feature Learning. - Andreas Argyriou; Theodoros Evgeniou; Massimiliano Pontil (NIPS, 2006)

A Spectral Regularization Framework for Multi-Task Structure Learning. - Andreas Argyriou; Charles A. Micchelli; Massimiliano Pontil; Yiming Ying (NIPS, 2007)

An Algorithm for Transfer Learning in a Heterogeneous Environment. - Andreas Argyriou; Andreas Maurer; Massimiliano Pontil (ECML/PKDD (1), 2008)

Convex multi-task feature learning. - Andreas Argyriou; Theodoros Evgeniou; Massimiliano Pontil (Mach. Learn., 2008)

Learning to integrate data from different sources and tasks. - Andreas Argyriou (2008)

When Is There a Representer Theorem? Vector Versus Matrix Regularizers. - Andreas Argyriou; Charles A. Micchelli; Massimiliano Pontil (J. Mach. Learn. Res., 2009)

On Spectral Learning. - Andreas Argyriou; Charles A. Micchelli; Massimiliano Pontil (J. Mach. Learn. Res., 2010)

Efficient First Order Methods for Linear Composite Regularizers - Andreas Argyriou; Charles A. Micchelli; Massimiliano Pontil; Lixin Shen; Yuesheng Xu (CoRR, 2011)

Sparse Prediction with the $k$-Support Norm. - Andreas Argyriou; Rina Foygel; Nathan Srebro (NIPS, 2012)

A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs - Emile Richard; Andreas Argyriou; Theodoros Evgeniou; Nicolas Vayatis (CoRR, 2012)

Sparse Prediction with the k-Overlap Norm - Andreas Argyriou; Rina Foygel; Nathan Srebro (CoRR, 2012)

PRISMA: PRoximal Iterative SMoothing Algorithm - Francesco Orabona; Andreas Argyriou; Nathan Srebro (CoRR, 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 (AISTATS, 2012)

On Sparsity Inducing Regularization Methods for Machine Learning. - Andreas Argyriou; Luca Baldassarre; Charles A. Micchelli; Massimiliano Pontil (Empirical Inference, 2013)

A Unifying View of Representer Theorems. - Andreas Argyriou; Francesco Dinuzzo (ICML, 2014)

Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization. - Andreas Argyriou; Marco Signoretto; Johan A. K. Suykens (CoRR, 2014)

Convex relaxations of penalties for sparse correlated variables with bounded total variation. - Eugene Belilovsky; Andreas Argyriou; Gaël Varoquaux; Matthew B. Blaschko (Mach. Learn., 2015)

In Search for a Cure: Recommendation With Knowledge Graph on CORD-19. - Iris Shen; Le Zhang; Jianxun Lian; Chieh-Han Wu; Miguel González-Fierro; Andreas Argyriou; Tao Wu (KDD, 2020)

Microsoft Recommenders: Best Practices for Production-Ready Recommendation Systems. - Andreas Argyriou; Miguel González-Fierro; Le Zhang (WWW (Companion Volume), 2020)