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Maurer Andreas
Maurer Andreas
Grattino Labs
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Cited by
Cited by
Year
Empirical bernstein bounds and sample variance penalization
A Maurer, M Pontil
arXiv preprint arXiv:0907.3740, 2009
5312009
The benefit of multitask representation learning
A Maurer, M Pontil, B Romera-Paredes
Journal of Machine Learning Research 17 (81), 1-32, 2016
3742016
A vector-contraction inequality for rademacher complexities
A Maurer
Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari …, 2016
2532016
Sparse coding for multitask and transfer learning
A Maurer, M Pontil, B Romera-Paredes
International conference on machine learning, 343-351, 2013
2122013
Bounds for linear multi-task learning
A Maurer
The Journal of Machine Learning Research 7, 117-139, 2006
1562006
A note on the PAC Bayesian theorem
A Maurer
arXiv preprint cs/0411099, 2004
1342004
Excess risk bounds for multitask learning with trace norm regularization
M Pontil, A Maurer
Conference on Learning Theory, 55-76, 2013
1152013
-Dimensional Coding Schemes in Hilbert Spaces
A Maurer, M Pontil
IEEE Transactions on Information Theory 56 (11), 5839-5846, 2010
1132010
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
1032008
Algorithmic stability and meta-learning.
A Maurer, T Jaakkola
Journal of Machine Learning Research 6 (6), 2005
992005
Structured Sparsity and Generalization.
A Maurer, M Pontil, G Lugosi
Journal of Machine Learning Research 13 (3), 2012
752012
Transfer bounds for linear feature learning
A Maurer
Machine learning 75 (3), 327-350, 2009
742009
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
672003
Concentration inequalities for functions of independent variables
A Maurer
Random Structures & Algorithms 29 (2), 121-138, 2006
562006
The Rademacher complexity of linear transformation classes
A Maurer
International Conference on Computational Learning Theory, 65-78, 2006
492006
Hagers Handbuch der Pharmazeutischen Praxis: Stoffe AD
F Bruchhausen, S Ebel, AW Frahm, E Hackenthal, M Albinus, HF Ali, ...
Springer Berlin Heidelberg, 1993
481993
A note on the PAC-Bayesian theorem. CoRR
A Maurer
arXiv preprint cs.LG/0411099, 181, 2004
462004
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
432020
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
392020
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
342022
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