Andreas Maurer
18 papers · 2005–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Keyword Champion
(2)
π§
Keyword Pioneer
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(82)
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Trend Setter
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Research topics
Keywords
transfer learning
(5)
multi-task learning
(4)
concentration inequality
(3)
generalization bound
(3)
empirical process
(2)
concentration inequalities
(2)
generalization error
(2)
algorithmic stability
(2)
structured sparsity
(2)
statistical learning theory
(2)
dictionary learning
(2)
bernstein inequality
(2)
rademacher complexity
(2)
uniform convergence
(2)
dynamical system
(2)
large margin classification
(1)
task generalization
(1)
face recognition
(1)
similarity learning
(1)
binary classification
(1)
Papers
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
AISTATS 2025
Generalization of Hamiltonian algorithms
NeurIPS 2024
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
NeurIPS 2022
Concentration inequalities under sub-Gaussian and sub-exponential conditions
NeurIPS 2021
Robust Unsupervised Learning via L-statistic Minimization
ICML 2021
Estimating weighted areas under the ROC curve
NeurIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
NeurIPS 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