Andreas Argyriou
Andreas Argyriou
Microsoft UK
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Cited by
Cited by
Multi-task feature learning
A Argyriou, T Evgeniou, M Pontil
Advances in Neural Information Processing Systems 19: Proceedings of the†…, 2007
Convex multi-task feature learning
A Argyriou, T Evgeniou, M Pontil
Machine learning 73, 243-272, 2008
A Spectral Regularization Framework for Multi-Task Structure Learning.
A Argyriou, CA Micchelli, M Pontil, Y Ying
Advances in Neural Information Processing Systems, 2007
Combining graph Laplacians for semi--supervised learning
A Argyriou, M Herbster, M Pontil
Advances in Neural Information Processing Systems 18, 2005
Sparse Prediction with the k-Support Norm
A Argyriou, R Foygel, N Srebro
Advances in Neural Information Processing Systems 2012, 2012
When is there a representer theorem? Vector versus matrix regularizers
A Argyriou, CA Micchelli, M Pontil
The Journal of Machine Learning Research 10, 2507-2529, 2009
A DC-programming algorithm for kernel selection
A Argyriou, R Hauser, CA Micchelli, M Pontil
Proceedings of the 23rd international conference on Machine learning, 41-48, 2006
Exploiting Unrelated Tasks in Multi-Task Learning
BR Paredes, A Argyriou, N Berthouze, M Pontil
Fifteenth International Conference on Artificial Intelligence and Statistics†…, 2012
Learning convex combinations of continuously parameterized basic kernels
A Argyriou, CA Micchelli, M Pontil
International conference on computational learning theory, 338-352, 2005
An algorithm for transfer learning in a heterogeneous environment
A Argyriou, A Maurer, M Pontil
Machine Learning and Knowledge Discovery in Databases: European Conference†…, 2008
Efficient first order methods for linear composite regularizers
A Argyriou, CA Micchelli, M Pontil, L Shen, Y Xu
arXiv preprint arXiv:1104.1436, 2011
Regularization, optimization, kernels, and support vector machines
JAK Suykens, M Signoretto, A Argyriou
CRC Press, 2014
Prisma: Proximal iterative smoothing algorithm
F Orabona, A Argyriou, N Srebro
arXiv preprint arXiv:1206.2372, 2012
Microsoft recommenders: Best practices for production-ready recommendation systems
A Argyriou, M GonzŠlez-Fierro, L Zhang
Companion Proceedings of the Web Conference 2020, 50-51, 2020
A unifying view of representer theorems
A Argyriou, F Dinuzzo
International Conference on Machine Learning, 748-756, 2014
Hybrid conditional gradient-smoothing algorithms with applications to sparse and low rank regularization
A Argyriou, M Signoretto, J Suykens
Regularization, Optimization, Kernels, and Support Vector Machines, 53-82, 2014
Learning the graph of relations among multiple tasks
A Argyriou, S ClťmenÁon, R Zhang
A general framework for structured sparsity via proximal optimization
L Baldassarre, J Morales, A Argyriou, M Pontil
Artificial Intelligence and Statistics, 82-90, 2012
In search for a cure: Recommendation with knowledge graph on CORD-19
I Shen, L Zhang, J Lian, CH Wu, MG Fierro, A Argyriou, T Wu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge†…, 2020
On sparsity inducing regularization methods for machine learning
A Argyriou, L Baldassarre, CA Micchelli, M Pontil
Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik, 205-216, 2013
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