← Authors

Andreas Maurer

18 papers · 2005–2025 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (26) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (20) 🐺 Lone Wolf (5) 🀝 Dynamic Duo (12) πŸ† Keyword Champion (2) πŸ’Ž Century Club (18) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (81) πŸ”₯ Unstoppable (7)

Conferences

COLT (5) JMLR (5) NIPS (5) ICML (2) AISTATS (1)

Top co-authors

Massimiliano Pontil (12) Bernardino Romera-Paredes (3) Carlo Ciliberto (2) Vladimir Kostic (1) Daniela Angela Parletta (1) Erfan Mirzaei (1) Luca Oneto (1) Massi Pontil (1) Andrea Paudice (1) Giulia Luise (1)

Research topics

Statistics (1)

Keywords

transfer learning (5) generalization bound (3) multitask learning (3) rademacher complexity (2) generalization error (2) algorithmic stability (2) dictionary learning (2) structured sparsity (2) empirical process (2) concentration inequalities (2) task generalization (1) face recognition (1) similarity learning (1) binary classification (1) learning theory (1) k-means clustering (1) uniform convergence (1) statistical learning theory (1) multi-task learning (1) reproducing kernel hilbert space (1)

Papers

An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications AISTATS 2025
Generalization of Hamiltonian algorithms NIPS 2024
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces NIPS 2022
Robust Unsupervised Learning via L-statistic Minimization ICML 2021
Concentration inequalities under sub-Gaussian and sub-exponential conditions NIPS 2021
Estimating weighted areas under the ROC curve NIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
Uniform concentration and symmetrization for weak interactions COLT 2019
Empirical bounds for functions with weak interactions COLT 2018
A Second-order Look at Stability and Generalization COLT 2017
The Benefit of Multitask Representation Learning JMLR 2016
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014
Excess risk bounds for multitask learning with trace norm regularization COLT 2013
Sparse coding for multitask and transfer learning ICML 2013
Structured Sparsity and Generalization JMLR 2012
Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008
Bounds for Linear Multi-Task Learning JMLR 2006
Algorithmic Stability and Meta-Learning JMLR 2005