Andreas Maurer

56 papers A* 13A 1B 6Misc 1Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications. AISTATS Erfan Mirzaei, Andreas Maurer, Vladimir R. Kostic, Massimiliano Pontil
2025	J	`jnl`	An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications. CoRR Erfan Mirzaei, Andreas Maurer, Vladimir R. Kostic, Massimiliano Pontil
2025	J	`jnl`	Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime. CoRR Andreas Maurer, Erfan Mirzaei, Massimiliano Pontil
2025	J	`jnl`	Generalization of the Gibbs algorithm with high probability at low temperatures. CoRR Andreas Maurer
2024	A*	`conf`	Generalization of Hamiltonian algorithms. NeurIPS Andreas Maurer
2024	J	`jnl`	Generalization of Hamiltonian algorithms. CoRR Andreas Maurer
2023	J	`jnl`	Generalization for slowly mixing processes. CoRR Andreas Maurer
2022	A*	`conf`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	J	`jnl`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2021	A*	`conf`	Concentration inequalities under sub-Gaussian and sub-exponential conditions. NeurIPS Andreas Maurer, Massimiliano Pontil
2021	J	`jnl`	Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding. Remote. Sens. Paul Herzig, Peter Borrmann, Uwe Knauer, Hans-Christian Klück, David Kilias, Udo Seiffert, Klaus Pillen, Andreas Maurer
2021	A*	`conf`	Robust Unsupervised Learning via L-statistic Minimization. ICML Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil
2021	J	`jnl`	Some Hoeffding- and Bernstein-type Concentration Inequalities. CoRR Andreas Maurer, Massimiliano Pontil
2021	J	`jnl`	Striatal and prefrontal D2R and SERT distributions contrastingly correlate with default-mode connectivity. NeuroImage Tudor M. Ionescu, Mario Amend, Rakibul Hafiz, Bharat B. Biswal, Andreas Maurer, Bernd J. Pichler, Hans F. Wehrl, Kristina Herfert
2020	J	`jnl`	A Perturbation Resilient Framework for Unsupervised Learning. CoRR Andreas Maurer, Daniela A. Parletta, Andrea Paudice, Massimiliano Pontil
2020	A*	`conf`	Estimating weighted areas under the ROC curve. NeurIPS Andreas Maurer, Massimiliano Pontil
2020	A*	`conf`	Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. NeurIPS Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil
2020	B	`conf`	Learning Fair and Transferable Representations with Theoretical Guarantees. DSAA Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer
2019	J	`jnl`	Learning Fair and Transferable Representations. CoRR Luca Oneto, Michele Donini, Andreas Maurer, Massimiliano Pontil
2019	A*	`conf`	Uniform concentration and symmetrization for weak interactions. COLT Andreas Maurer, Massimiliano Pontil
2019	J	`jnl`	Uniform concentration and symmetrization for weak interactions. CoRR Andreas Maurer, Massimiliano Pontil
2018	A*	`conf`	Empirical bounds for functions with weak interactions. COLT Andreas Maurer, Massimiliano Pontil
2017	A*	`conf`	A Second-order Look at Stability and Generalization. COLT Andreas Maurer
2016	B	`conf`	A Vector-Contraction Inequality for Rademacher Complexities. ALT Andreas Maurer
2016	J	`jnl`	A chain rule for the expected suprema of Gaussian processes. Theor. Comput. Sci. Andreas Maurer
2016	J	`jnl`	A vector-contraction inequality for Rademacher complexities. CoRR Andreas Maurer
2016	J	`jnl`	Bounds for Vector-Valued Function Estimation. CoRR Andreas Maurer, Massimiliano Pontil
2016	J	`jnl`	The Benefit of Multitask Representation Learning. J. Mach. Learn. Res. Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2015	J	`jnl`	The Benefit of Multitask Representation Learning. CoRR Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2014	B	`conf`	A Chain Rule for the Expected Suprema of Gaussian Processes. ALT Andreas Maurer
2014	J	`jnl`	A chain rule for the expected suprema of Gaussian processes. CoRR Andreas Maurer
2014	A*	`conf`	An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. COLT Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2014	J	`jnl`	An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. CoRR Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2013	A*	`conf`	Excess risk bounds for multitask learning with trace norm regularization. COLT Massimiliano Pontil, Andreas Maurer
2013	—	`conf`	Sparse coding for multitask and transfer learning. ICML (2) Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2013	Misc	`conf`	Vision-Based 3D-Reconstruction of Barley Plants. IbPRIA Armagan Elibol, Stefan Posch, Andreas Maurer, Klaus Pillen, Birgit Möller
2012	J	`jnl`	Excess risk bounds for multitask learning with trace norm regularization CoRR Andreas Maurer, Massimiliano Pontil
2012	J	`jnl`	Sparse coding for multitask and transfer learning CoRR Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2012	J	`jnl`	Structured Sparsity and Generalization. J. Mach. Learn. Res. Andreas Maurer, Massimiliano Pontil
2012	—	`conf`	Transfer learning in a heterogeneous environment. CIP Andreas Maurer, Massimiliano Pontil
2011	J	`jnl`	Structured Sparsity and Generalization CoRR Andreas Maurer, Massimiliano Pontil
2009	A*	`conf`	Empirical Bernstein Bounds and Sample-Variance Penalization. COLT Andreas Maurer, Massimiliano Pontil
2009	J	`jnl`	Transfer bounds for linear feature learning. Mach. Learn. Andreas Maurer
2008	B	`conf`	A Uniform Lower Error Bound for Half-Space Learning. ALT Andreas Maurer, Massimiliano Pontil
2008	—	`conf`	An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
2008	J	`jnl`	An optimization problem on the sphere CoRR Andreas Maurer
2008	B	`conf`	Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. ALT Andreas Maurer, Massimiliano Pontil
2008	J	`jnl`	Learning Similarity with Operator-valued Large-margin Classifiers. J. Mach. Learn. Res. Andreas Maurer
2008	J	`jnl`	Unsupervised slow subspace-learning from stationary processes. Theor. Comput. Sci. Andreas Maurer
2006	J	`jnl`	Bounds for Linear Multi-Task Learning. J. Mach. Learn. Res. Andreas Maurer
2006	J	`jnl`	Concentration inequalities for functions of independent variables. Random Struct. Algorithms Andreas Maurer
2006	A*	`conf`	The Rademacher Complexity of Linear Transformation Classes. COLT Andreas Maurer
2006	B	`conf`	Unsupervised Slow Subspace-Learning from Stationary Processes. ALT Andreas Maurer
2005	J	`jnl`	Algorithmic Stability and Meta-Learning. J. Mach. Learn. Res. Andreas Maurer
2005	—	`conf`	Generalization Bounds for Subspace Selection and Hyperbolic PCA. SLSFS Andreas Maurer
2004	J	`jnl`	A Note on the PAC Bayesian Theorem CoRR Andreas Maurer