Andreas Maurer
18 papers · 2005–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (20)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(20)
🐺
Lone Wolf
(5)
🤝
Dynamic Duo
(12)
🏆
Keyword Champion
(2)
💎
Century Club
(18)
📈
Trend Setter
🚀
Conference Pioneer
🗃️
Keyword Collector
(81)
🔥
Unstoppable
(7)
Conferences
COLT (5)
JMLR (5)
NIPS (5)
ICML (2)
AISTATS (1)
Top co-authors
Research topics
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