Andreas Maurer

Orcid: 0000-0003-2412-5361

According to our database1, Andreas Maurer authored at least 40 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generalization of Hamiltonian algorithms.
CoRR, 2024

2023
Generalization for slowly mixing processes.
CoRR, 2023

2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding.
Remote. Sens., 2021

Striatal and prefrontal D2R and SERT distributions contrastingly correlate with default-mode connectivity.
NeuroImage, 2021

Some Hoeffding- and Bernstein-type Concentration Inequalities.
CoRR, 2021

Concentration inequalities under sub-Gaussian and sub-exponential conditions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Unsupervised Learning via L-statistic Minimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
A Perturbation Resilient Framework for Unsupervised Learning.
CoRR, 2020

Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating weighted areas under the ROC curve.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Fair and Transferable Representations with Theoretical Guarantees.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Learning Fair and Transferable Representations.
CoRR, 2019

Uniform concentration and symmetrization for weak interactions.
Proceedings of the Conference on Learning Theory, 2019

2018
Empirical bounds for functions with weak interactions.
Proceedings of the Conference On Learning Theory, 2018

2017
A Second-order Look at Stability and Generalization.
Proceedings of the 30th Conference on Learning Theory, 2017

2016
A chain rule for the expected suprema of Gaussian processes.
Theor. Comput. Sci., 2016

The Benefit of Multitask Representation Learning.
J. Mach. Learn. Res., 2016

Bounds for Vector-Valued Function Estimation.
CoRR, 2016

A Vector-Contraction Inequality for Rademacher Complexities.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Sparse coding for multitask and transfer learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Vision-Based 3D-Reconstruction of Barley Plants.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Excess risk bounds for multitask learning with trace norm regularization.
Proceedings of the COLT 2013, 2013

2012
Structured Sparsity and Generalization.
J. Mach. Learn. Res., 2012

Transfer learning in a heterogeneous environment.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2009
Transfer bounds for linear feature learning.
Mach. Learn., 2009

Empirical Bernstein Bounds and Sample-Variance Penalization.
Proceedings of the COLT 2009, 2009

2008
Unsupervised slow subspace-learning from stationary processes.
Theor. Comput. Sci., 2008

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

An optimization problem on the sphere
CoRR, 2008

An Algorithm for Transfer Learning in a Heterogeneous Environment.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

A Uniform Lower Error Bound for Half-Space Learning.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2006
Concentration inequalities for functions of independent variables.
Random Struct. Algorithms, 2006

Bounds for Linear Multi-Task Learning.
J. Mach. Learn. Res., 2006

The Rademacher Complexity of Linear Transformation Classes.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Algorithmic Stability and Meta-Learning.
J. Mach. Learn. Res., 2005

Generalization Bounds for Subspace Selection and Hyperbolic PCA.
Proceedings of the Subspace, 2005

2004
A Note on the PAC Bayesian Theorem
CoRR, 2004


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