Andreas Maurer

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 23

Top Topics

Gaussian Process

Multitask Learning

Unsupervised Learning

Reproducing Kernel

Top Venues

Publications

Andreas Maurer
Generalization of Hamiltonian algorithms. CoRR (2024)
Andreas Maurer
Generalization for slowly mixing processes. CoRR (2023)
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 (2022)
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)
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) (2021)
Andreas Maurer, Massimiliano Pontil
Concentration inequalities under sub-Gaussian and sub-exponential conditions. NeurIPS (2021)
Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil
Robust Unsupervised Learning via L-statistic Minimization. ICML (2021)
Andreas Maurer, Massimiliano Pontil
Some Hoeffding- and Bernstein-type Concentration Inequalities. CoRR (2021)
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 (2021)
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)
Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer
Learning Fair and Transferable Representations with Theoretical Guarantees. DSAA (2020)
Andreas Maurer, Massimiliano Pontil
Estimating weighted areas under the ROC curve. NeurIPS (2020)
Andreas Maurer, Daniela A. Parletta, Andrea Paudice, Massimiliano Pontil
A Perturbation Resilient Framework for Unsupervised Learning. CoRR (2020)
Luca Oneto, Michele Donini, Andreas Maurer, Massimiliano Pontil
Learning Fair and Transferable Representations. CoRR (2019)
Andreas Maurer, Massimiliano Pontil
Uniform concentration and symmetrization for weak interactions. COLT (2019)
Andreas Maurer, Massimiliano Pontil
Uniform concentration and symmetrization for weak interactions. CoRR (2019)
Andreas Maurer, Massimiliano Pontil
Empirical bounds for functions with weak interactions. COLT (2018)
Andreas Maurer
A Second-order Look at Stability and Generalization. COLT (2017)
Andreas Maurer
A chain rule for the expected suprema of Gaussian processes. Theor. Comput. Sci. 650 (2016)
Andreas Maurer
A Vector-Contraction Inequality for Rademacher Complexities. ALT (2016)
Andreas Maurer, Massimiliano Pontil
Bounds for Vector-Valued Function Estimation. CoRR (2016)
Andreas Maurer
A vector-contraction inequality for Rademacher complexities. CoRR (2016)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
The Benefit of Multitask Representation Learning. J. Mach. Learn. Res. 17 (2016)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
The Benefit of Multitask Representation Learning. CoRR (2015)
Andreas Maurer
A Chain Rule for the Expected Suprema of Gaussian Processes. ALT (2014)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. CoRR (2014)
Andreas Maurer
A chain rule for the expected suprema of Gaussian processes. CoRR (2014)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. COLT (2014)
Massimiliano Pontil, Andreas Maurer
Excess risk bounds for multitask learning with trace norm regularization. COLT (2013)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
Sparse coding for multitask and transfer learning. ICML (2) (2013)
Armagan Elibol, Stefan Posch, Andreas Maurer, Klaus Pillen, Birgit Möller
Vision-Based 3D-Reconstruction of Barley Plants. IbPRIA (2013)
Andreas Maurer, Massimiliano Pontil
Transfer learning in a heterogeneous environment. CIP (2012)
Andreas Maurer, Massimiliano Pontil
Structured Sparsity and Generalization. J. Mach. Learn. Res. 13 (2012)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
Sparse coding for multitask and transfer learning CoRR (2012)
Andreas Maurer, Massimiliano Pontil
Excess risk bounds for multitask learning with trace norm regularization CoRR (2012)
Andreas Maurer, Massimiliano Pontil
Structured Sparsity and Generalization CoRR (2011)
Andreas Maurer, Massimiliano Pontil
Empirical Bernstein Bounds and Sample-Variance Penalization. COLT (2009)
Andreas Maurer
Transfer bounds for linear feature learning. Mach. Learn. 75 (3) (2009)
Andreas Maurer, Massimiliano Pontil
A Uniform Lower Error Bound for Half-Space Learning. ALT (2008)
Andreas Maurer
Unsupervised slow subspace-learning from stationary processes. Theor. Comput. Sci. 405 (3) (2008)
Andreas Maurer
Learning Similarity with Operator-valued Large-margin Classifiers. J. Mach. Learn. Res. 9 (2008)
Andreas Maurer
An optimization problem on the sphere CoRR (2008)
Andreas Maurer, Massimiliano Pontil
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. ALT (2008)
Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) (2008)
Andreas Maurer
Bounds for Linear Multi-Task Learning. J. Mach. Learn. Res. 7 (2006)
Andreas Maurer
Unsupervised Slow Subspace-Learning from Stationary Processes. ALT (2006)
Andreas Maurer
The Rademacher Complexity of Linear Transformation Classes. COLT (2006)
Andreas Maurer
Concentration inequalities for functions of independent variables. Random Struct. Algorithms 29 (2) (2006)
Andreas Maurer
Algorithmic Stability and Meta-Learning. J. Mach. Learn. Res. 6 (2005)
Andreas Maurer
Generalization Bounds for Subspace Selection and Hyperbolic PCA. SLSFS (2005)
Andreas Maurer
A Note on the PAC Bayesian Theorem CoRR (2004)