Bernhard A. Moser
6 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Application Areas
(3)
Core Methods
(3)
Architectures
(2)
Artificial Intelligence
(1)
Security & Privacy
(1)
Differential Privacy
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
reproducing kernel hilbert space
(2)
unsupervised learning
(1)
differential privacy
(1)
domain adaptation
(1)
convex optimization
(1)
unsupervised domain adaptation
(1)
parameter selection
(1)
model aggregation
(1)
privacy-preserving learning
(1)
utility optimization
(1)
generalization error
(1)
regularization parameter
(1)
collaborative learning
(1)
adversarial attack
(1)
distance metric
(1)
inverse problem
(1)
privacy-utility trade-off
(1)
activation function
(1)
membership inference
(1)
kernel machine
(1)
Papers
Exploiting Space Folding by Neural Networks
AAAI 2026
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint)
AAAI 2026
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)
IJCAI 2024
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
ICLR 2023
Tessellation-Filtering ReLU Neural Networks
IJCAI 2022
The balancing principle for parameter choice in distance-regularized domain adaptation
NeurIPS 2021