关注
Andreas Argyriou
Andreas Argyriou
Microsoft UK
在 alum.mit.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Multi-task feature learning
A Argyriou, T Evgeniou, M Pontil
Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007
17052007
Convex multi-task feature learning
A Argyriou, T Evgeniou, M Pontil
Machine learning 73, 243-272, 2008
16712008
A Spectral Regularization Framework for Multi-Task Structure Learning.
A Argyriou, CA Micchelli, M Pontil, Y Ying
Advances in Neural Information Processing Systems, 2007
340*2007
Combining graph Laplacians for semi--supervised learning
A Argyriou, M Herbster, M Pontil
Advances in Neural Information Processing Systems 18, 2005
1852005
Sparse Prediction with the k-Support Norm
A Argyriou, R Foygel, N Srebro
Advances in Neural Information Processing Systems 2012, 2012
1762012
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
1602009
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
1502006
Learning convex combinations of continuously parameterized basic kernels
A Argyriou, CA Micchelli, M Pontil
Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005 …, 2005
1342005
Exploiting Unrelated Tasks in Multi-Task Learning
BR Paredes, A Argyriou, N Berthouze, M Pontil
Fifteenth International Conference on Artificial Intelligence and Statistics …, 2012
1322012
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
1012008
On spectral learning.
A Argyriou, CA Micchelli, M Pontil
Journal of Machine Learning Research 11 (2), 2010
612010
Efficient first order methods for linear composite regularizers
A Argyriou, CA Micchelli, M Pontil, L Shen, Y Xu
arXiv preprint arXiv:1104.1436, 2011
592011
Regularization, optimization, kernels, and support vector machines
JAK Suykens, M Signoretto, A Argyriou
CRC Press, 2014
502014
Prisma: Proximal iterative smoothing algorithm
F Orabona, A Argyriou, N Srebro
arXiv preprint arXiv:1206.2372, 2012
412012
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
292014
A unifying view of representer theorems
A Argyriou, F Dinuzzo
International Conference on Machine Learning, 748-756, 2014
262014
Microsoft recommenders: Best practices for production-ready recommendation systems
A Argyriou, M González-Fierro, L Zhang
Companion Proceedings of the Web Conference 2020, 50-51, 2020
232020
A general framework for structured sparsity via proximal optimization
L Baldassarre, J Morales, A Argyriou, M Pontil
Artificial Intelligence and Statistics, 82-90, 2012
172012
Learning the graph of relations among multiple tasks
A Argyriou, S Clémençon, R Zhang
162013
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
102013
系统目前无法执行此操作，请稍后再试。
文章 1–20