Empirical bernstein bounds and sample variance penalization A Maurer, M Pontil
arXiv preprint arXiv:0907.3740, 2009
540 2009 The benefit of multitask representation learning A Maurer, M Pontil, B Romera-Paredes
Journal of Machine Learning Research 17 (81), 1-32, 2016
381 2016 A vector-contraction inequality for rademacher complexities A Maurer
Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari …, 2016
256 2016 Sparse coding for multitask and transfer learning A Maurer, M Pontil, B Romera-Paredes
International conference on machine learning, 343-351, 2013
213 2013 Bounds for linear multi-task learning A Maurer
The Journal of Machine Learning Research 7, 117-139, 2006
157 2006 A note on the PAC Bayesian theorem A Maurer
arXiv preprint cs/0411099, 2004
139 2004 Excess risk bounds for multitask learning with trace norm regularization M Pontil, A Maurer
Conference on Learning Theory, 55-76, 2013
116 2013 -Dimensional Coding Schemes in Hilbert SpacesA 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
101 2005 Structured Sparsity and Generalization. A Maurer, M Pontil, G Lugosi
Journal of Machine Learning Research 13 (3), 2012
76 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
45 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
41 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