Empirical bernstein bounds and sample variance penalization A Maurer, M Pontil arXiv preprint arXiv:0907.3740, 2009 | 531 | 2009 |
The benefit of multitask representation learning A Maurer, M Pontil, B Romera-Paredes Journal of Machine Learning Research 17 (81), 1-32, 2016 | 374 | 2016 |
A vector-contraction inequality for rademacher complexities A Maurer Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari …, 2016 | 253 | 2016 |
Sparse coding for multitask and transfer learning A Maurer, M Pontil, B Romera-Paredes International conference on machine learning, 343-351, 2013 | 212 | 2013 |
Bounds for linear multi-task learning A Maurer The Journal of Machine Learning Research 7, 117-139, 2006 | 156 | 2006 |
A note on the PAC Bayesian theorem A Maurer arXiv preprint cs/0411099, 2004 | 134 | 2004 |
Excess risk bounds for multitask learning with trace norm regularization M Pontil, A Maurer Conference on Learning Theory, 55-76, 2013 | 115 | 2013 |
-Dimensional Coding Schemes in Hilbert Spaces A Maurer, M Pontil IEEE Transactions on Information Theory 56 (11), 5839-5846, 2010 | 113 | 2010 |
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 | 103 | 2008 |
Algorithmic stability and meta-learning. A Maurer, T Jaakkola Journal of Machine Learning Research 6 (6), 2005 | 99 | 2005 |
Structured Sparsity and Generalization. A Maurer, M Pontil, G Lugosi Journal of Machine Learning Research 13 (3), 2012 | 75 | 2012 |
Transfer bounds for linear feature learning A Maurer Machine learning 75 (3), 327-350, 2009 | 74 | 2009 |
A bound on the deviation probability for sums of non-negative random variables A Maurer J. Inequalities in Pure and Applied Mathematics 4 (1), 15, 2003 | 67 | 2003 |
Concentration inequalities for functions of independent variables A Maurer Random Structures & Algorithms 29 (2), 121-138, 2006 | 56 | 2006 |
The Rademacher complexity of linear transformation classes A Maurer International Conference on Computational Learning Theory, 65-78, 2006 | 49 | 2006 |
Hagers Handbuch der Pharmazeutischen Praxis: Stoffe AD F Bruchhausen, S Ebel, AW Frahm, E Hackenthal, M Albinus, HF Ali, ... Springer Berlin Heidelberg, 1993 | 48 | 1993 |
A note on the PAC-Bayesian theorem. CoRR A Maurer arXiv preprint cs.LG/0411099, 181, 2004 | 46 | 2004 |
Exploiting mmd and sinkhorn divergences for fair and transferable representation learning L Oneto, M Donini, G Luise, C Ciliberto, A Maurer, M Pontil Advances in Neural Information Processing Systems 33, 15360-15370, 2020 | 43 | 2020 |
Learning fair and transferable representations with theoretical guarantees L Oneto, M Donini, M Pontil, A Maurer 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 39 | 2020 |
Learning dynamical systems via Koopman operator regression in reproducing kernel Hilbert spaces V Kostic, P Novelli, A Maurer, C Ciliberto, L Rosasco, M Pontil Advances in Neural Information Processing Systems 35, 4017-4031, 2022 | 34 | 2022 |