Michael Kamp
10 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
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Keyword Collector
(50)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Application Areas
(7)
Learning Paradigms · Artificial Intelligence
(6)
Optimization & Theory
(5)
Learning Paradigms · Machine Learning
(3)
Learning Types
(3)
Knowledge & Reasoning
(2)
Security & Privacy
(2)
Core AI
(2)
Core Methods
(2)
Reasoning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Keywords
federated learning
(6)
causal network
(2)
causal discovery
(2)
causal inference
(1)
feature learning
(1)
domain adaptation
(1)
semi-supervised learning
(1)
binary matrix factorization
(1)
knowledge distillation
(1)
batch normalization
(1)
orthogonal projection
(1)
sample complexity
(1)
distributed learning
(1)
privacy preservation
(1)
neural network optimization
(1)
model aggregation
(1)
matrix factorization
(1)
risk minimization
(1)
gradient boosting
(1)
representation learning
(1)
Papers
Federated Binary Matrix Factorization Using Proximal Optimization
AAAI 2025
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
AAAI 2025
Layer-wise linear mode connectivity
ICLR 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
AISTATS 2024
Federated Learning from Small Datasets
ICLR 2023
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
AAAI 2023
Nothing but Regrets — Privacy-Preserving Federated Causal Discovery
AISTATS 2023
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
ICLR 2021
Relative Flatness and Generalization
NeurIPS 2021
Effective Parallelisation for Machine Learning
NeurIPS 2017