A Note on the PAC Bayesian Theorem - Andreas Maurer (CoRR, 2004)

Generalization Bounds for Subspace Selection and Hyperbolic PCA. - Andreas Maurer (SLSFS, 2005)

Algorithmic Stability and Meta-Learning. - Andreas Maurer (J. Mach. Learn. Res., 2005)

The Rademacher Complexity of Linear Transformation Classes. - Andreas Maurer (COLT, 2006)

Bounds for Linear Multi-Task Learning. - Andreas Maurer (J. Mach. Learn. Res., 2006)

Concentration inequalities for functions of independent variables. - Andreas Maurer (Random Struct. Algorithms, 2006)

A Uniform Lower Error Bound for Half-Space Learning. - Andreas Maurer; Massimiliano Pontil (ALT, 2008)

Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. - Andreas Maurer; Massimiliano Pontil (ALT, 2008)

An Algorithm for Transfer Learning in a Heterogeneous Environment. - Andreas Argyriou; Andreas Maurer; Massimiliano Pontil (ECML/PKDD (1), 2008)

An optimization problem on the sphere - Andreas Maurer (CoRR, 2008)

Learning Similarity with Operator-valued Large-margin Classifiers. - Andreas Maurer (J. Mach. Learn. Res., 2008)

Unsupervised slow subspace-learning from stationary processes. - Andreas Maurer (Theor. Comput. Sci., 2008)

Empirical Bernstein Bounds and Sample-Variance Penalization. - Andreas Maurer; Massimiliano Pontil (COLT, 2009)

Transfer bounds for linear feature learning. - Andreas Maurer (Mach. Learn., 2009)

Transfer learning in a heterogeneous environment. - Andreas Maurer; Massimiliano Pontil (CIP, 2012)

Structured Sparsity and Generalization. - Andreas Maurer; Massimiliano Pontil (J. Mach. Learn. Res., 2012)

Excess risk bounds for multitask learning with trace norm regularization. - Massimiliano Pontil; Andreas Maurer (COLT, 2013)

Vision-Based 3D-Reconstruction of Barley Plants. - Armagan Elibol; Stefan Posch; Andreas Maurer; Klaus Pillen; Birgit Möller 001 (IbPRIA, 2013)

Sparse coding for multitask and transfer learning. - Andreas Maurer; Massimiliano Pontil; Bernardino Romera-Paredes (ICML (2), 2013)

An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. - Andreas Maurer; Massimiliano Pontil; Bernardino Romera-Paredes (COLT, 2014)

A Vector-Contraction Inequality for Rademacher Complexities. - Andreas Maurer (ALT, 2016)

Bounds for Vector-Valued Function Estimation. - Andreas Maurer; Massimiliano Pontil (CoRR, 2016)

The Benefit of Multitask Representation Learning. - Andreas Maurer; Massimiliano Pontil; Bernardino Romera-Paredes (J. Mach. Learn. Res., 2016)

A chain rule for the expected suprema of Gaussian processes. - Andreas Maurer (Theor. Comput. Sci., 2016)

A Second-order Look at Stability and Generalization. - Andreas Maurer (COLT, 2017)

Empirical bounds for functions with weak interactions. - Andreas Maurer; Massimiliano Pontil (COLT, 2018)

Uniform concentration and symmetrization for weak interactions. - Andreas Maurer; Massimiliano Pontil (COLT, 2019)

Learning Fair and Transferable Representations. - Luca Oneto; Michele Donini; Andreas Maurer; Massimiliano Pontil (CoRR, 2019)

Learning Fair and Transferable Representations with Theoretical Guarantees. - Luca Oneto; Michele Donini; Massimiliano Pontil; Andreas Maurer (DSAA, 2020)

Estimating weighted areas under the ROC curve. - Andreas Maurer; Massimiliano Pontil (NeurIPS, 2020)

Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. - Luca Oneto; Michele Donini; Giulia Luise; Carlo Ciliberto; Andreas Maurer; Massimiliano Pontil (NeurIPS, 2020)

A Perturbation Resilient Framework for Unsupervised Learning. - Andreas Maurer; Daniela A. Parletta; Andrea Paudice; Massimiliano Pontil (CoRR, 2020)

Robust Unsupervised Learning via L-statistic Minimization. - Andreas Maurer; Daniela Angela Parletta; Andrea Paudice; Massimiliano Pontil (ICML, 2021)

Concentration inequalities under sub-Gaussian and sub-exponential conditions. - Andreas Maurer; Massimiliano Pontil (NeurIPS, 2021)

Some Hoeffding- and Bernstein-type Concentration Inequalities. - Andreas Maurer; Massimiliano Pontil (CoRR, 2021)

Striatal and prefrontal D2R and SERT distributions contrastingly correlate with default-mode connectivity. - Tudor M. Ionescu; Mario Amend; Rakibul Hafiz; Bharat B. Biswal; Andreas Maurer; Bernd J. Pichler; Hans F. Wehrl; Kristina Herfert (NeuroImage, 2021)

Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding. - Paul Herzig; Peter Borrmann; Uwe Knauer; Hans-Christian Klück; David Kilias; Udo Seiffert; Klaus Pillen; Andreas Maurer (Remote. Sens., 2021)

Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. - Vladimir Kostic; Pietro Novelli; Andreas Maurer; Carlo Ciliberto; Lorenzo Rosasco; Massimiliano Pontil (NeurIPS, 2022)

Generalization for slowly mixing processes. - Andreas Maurer (CoRR, 2023)

Generalization of Hamiltonian algorithms. - Andreas Maurer (NeurIPS, 2024)

An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications. - Erfan Mirzaei; Andreas Maurer; Vladimir R. Kostic; Massimiliano Pontil (AISTATS, 2025)

Generalization of the Gibbs algorithm with high probability at low temperatures. - Andreas Maurer (CoRR, 2025)