Michael Kamp
10 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (23) π Conference Polyglot (4)
π
Academic Marathon
(8)
π
Cross-Pollinator
(10)
π
Keyword Champion
(2)
π
Century Club
(10)
Conferences
AAAI (3)
ICLR (3)
AISTATS (2)
NIPS (2)
Top co-authors
Research topics
Keywords
federated learning
(3)
causal network
(2)
causal discovery
(2)
representation learning
(1)
semi-supervised learning
(1)
feature learning
(1)
matrix factorization
(1)
knowledge distillation
(1)
orthogonal projection
(1)
sample complexity
(1)
binary matrix factorization
(1)
risk minimization
(1)
gradient boosting
(1)
minimum description length
(1)
communication efficiency
(1)
regret optimization
(1)
boolean matrix factorization
(1)
proximal optimization
(1)
learning algorithm
(1)
additive model
(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
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
AISTATS 2024
Layer-wise linear mode connectivity
ICLR 2024
Nothing but Regrets β Privacy-Preserving Federated Causal Discovery
AISTATS 2023
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
AAAI 2023
Federated Learning from Small Datasets
ICLR 2023
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
ICLR 2021
Relative Flatness and Generalization
NIPS 2021
Effective Parallelisation for Machine Learning
NIPS 2017