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ORCIDAndreas Maurer
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2020 – today
- 2024
[i17]Andreas Maurer:
Generalization of Hamiltonian algorithms. CoRR abs/2405.14469 (2024)- 2023
- [i16]Andreas Maurer:
Generalization for slowly mixing processes. CoRR abs/2305.00977 (2023) - 2022
- [c23]Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil:
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS 2022 - [i15]Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil:
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR abs/2205.14027 (2022) - 2021
- [j11]Tudor M. Ionescu, Mario Amend, Rakibul Hafiz, Bharat B. Biswal
, Andreas Maurer, Bernd J. Pichler, Hans F. Wehrl, Kristina Herfert:
Striatal and prefrontal D2R and SERT distributions contrastingly correlate with default-mode connectivity. NeuroImage 243: 118501 (2021) - [j10]Paul Herzig, Peter Borrmann, Uwe Knauer, Hans-Christian Klück, David Kilias, Udo Seiffert, Klaus Pillen, Andreas Maurer:
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding. Remote. Sens. 13(14): 2670 (2021) - [c22]Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil:
Robust Unsupervised Learning via L-statistic Minimization. ICML 2021: 7524-7533 - [c21]Andreas Maurer, Massimiliano Pontil:
Concentration inequalities under sub-Gaussian and sub-exponential conditions. NeurIPS 2021: 7588-7597 - [i14]Andreas Maurer, Massimiliano Pontil:
Some Hoeffding- and Bernstein-type Concentration Inequalities. CoRR abs/2102.06304 (2021) - 2020
- [c20]Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer:
Learning Fair and Transferable Representations with Theoretical Guarantees. DSAA 2020: 30-39 - [c19]Andreas Maurer, Massimiliano Pontil:
Estimating weighted areas under the ROC curve. NeurIPS 2020 - [c18]Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil:
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. NeurIPS 2020 - [i13]Andreas Maurer, Daniela A. Parletta, Andrea Paudice, Massimiliano Pontil:
A Perturbation Resilient Framework for Unsupervised Learning. CoRR abs/2012.07399 (2020)
2010 – 2019
- 2019
- [c17]Andreas Maurer, Massimiliano Pontil:
Uniform concentration and symmetrization for weak interactions. COLT 2019: 2372-2387 - [i12]Andreas Maurer, Massimiliano Pontil:
Uniform concentration and symmetrization for weak interactions. CoRR abs/1902.01911 (2019) - [i11]Luca Oneto, Michele Donini, Andreas Maurer, Massimiliano Pontil:
Learning Fair and Transferable Representations. CoRR abs/1906.10673 (2019) - 2018
- [c16]Andreas Maurer, Massimiliano Pontil:
Empirical bounds for functions with weak interactions. COLT 2018: 987-1010 - 2017
- [c15]Andreas Maurer:
A Second-order Look at Stability and Generalization. COLT 2017: 1461-1475 - 2016
- [j9]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
The Benefit of Multitask Representation Learning. J. Mach. Learn. Res. 17: 81:1-81:32 (2016) - [j8]Andreas Maurer:
A chain rule for the expected suprema of Gaussian processes. Theor. Comput. Sci. 650: 109-122 (2016) - [c14]Andreas Maurer:
A Vector-Contraction Inequality for Rademacher Complexities. ALT 2016: 3-17 - [i10]Andreas Maurer:
A vector-contraction inequality for Rademacher complexities. CoRR abs/1605.00251 (2016) - [i9]Andreas Maurer, Massimiliano Pontil:
Bounds for Vector-Valued Function Estimation. CoRR abs/1606.01487 (2016) - 2015
- [i8]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
The Benefit of Multitask Representation Learning. CoRR abs/1505.06279 (2015) - 2014
- [c13]Andreas Maurer:
A Chain Rule for the Expected Suprema of Gaussian Processes. ALT 2014: 245-259 - [c12]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. COLT 2014: 440-460 - [i7]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. CoRR abs/1402.1864 (2014) - [i6]Andreas Maurer:
A chain rule for the expected suprema of Gaussian processes. CoRR abs/1411.2635 (2014) - 2013
- [c11]Massimiliano Pontil, Andreas Maurer:
Excess risk bounds for multitask learning with trace norm regularization. COLT 2013: 55-76 - [c10]Armagan Elibol, Stefan Posch, Andreas Maurer, Klaus Pillen, Birgit Möller:
Vision-Based 3D-Reconstruction of Barley Plants. IbPRIA 2013: 406-415 - [c9]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
Sparse coding for multitask and transfer learning. ICML (2) 2013: 343-351 - 2012
- [j7]Andreas Maurer, Massimiliano Pontil:
Structured Sparsity and Generalization. J. Mach. Learn. Res. 13: 671-690 (2012) - [c8]Andreas Maurer, Massimiliano Pontil:
Transfer learning in a heterogeneous environment. CIP 2012: 1-6 - [i5]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
Sparse coding for multitask and transfer learning. CoRR abs/1209.0738 (2012) - [i4]Andreas Maurer, Massimiliano Pontil:
Excess risk bounds for multitask learning with trace norm regularization. CoRR abs/1212.1496 (2012) - 2011
- [i3]Andreas Maurer, Massimiliano Pontil:
Structured Sparsity and Generalization. CoRR abs/1108.3476 (2011)
2000 – 2009
- 2009
- [j6]Andreas Maurer:
Transfer bounds for linear feature learning. Mach. Learn. 75(3): 327-350 (2009) - [c7]Andreas Maurer, Massimiliano Pontil:
Empirical Bernstein Bounds and Sample-Variance Penalization. COLT 2009 - 2008
- [j5]Andreas Maurer:
Learning Similarity with Operator-valued Large-margin Classifiers. J. Mach. Learn. Res. 9: 1049-1082 (2008) - [j4]Andreas Maurer:
Unsupervised slow subspace-learning from stationary processes. Theor. Comput. Sci. 405(3): 237-255 (2008) - [c6]Andreas Maurer, Massimiliano Pontil:
A Uniform Lower Error Bound for Half-Space Learning. ALT 2008: 70-78 - [c5]Andreas Maurer, Massimiliano Pontil:
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. ALT 2008: 79-91 - [c4]Andreas Argyriou, Andreas Maurer, Massimiliano Pontil:
An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) 2008: 71-85 - [i2]Andreas Maurer:
An optimization problem on the sphere. CoRR abs/0805.2362 (2008) - 2006
- [j3]Andreas Maurer:
Bounds for Linear Multi-Task Learning. J. Mach. Learn. Res. 7: 117-139 (2006) - [j2]Andreas Maurer:
Concentration inequalities for functions of independent variables. Random Struct. Algorithms 29(2): 121-138 (2006) - [c3]Andreas Maurer:
Unsupervised Slow Subspace-Learning from Stationary Processes. ALT 2006: 363-377 - [c2]Andreas Maurer:
The Rademacher Complexity of Linear Transformation Classes. COLT 2006: 65-78 - 2005
- [j1]Andreas Maurer:
Algorithmic Stability and Meta-Learning. J. Mach. Learn. Res. 6: 967-994 (2005) - [c1]Andreas Maurer:
Generalization Bounds for Subspace Selection and Hyperbolic PCA. SLSFS 2005: 185-197 - 2004
- [i1]Andreas Maurer:
A Note on the PAC Bayesian Theorem. CoRR cs.LG/0411099 (2004)
Coauthor Index
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