Publications

black-box black-box parallelization causality CKD communication-efficient corresponding projections deep learning DiSIEM distributed dynamic averaging federated federated causal discovery federated learning flatness generalization interpretable learning theory machine learning medicine nephrology neural networks parallelization relative flatness robustness semi-supervised theory of deep learning transfer learning visual analytics visualization XAI

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2023

David Kaltenpoth Osman Mian, Michael Kamp

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery Proceedings Article

In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

BibTeX | Tags: causal discovery, causality, explainable, federated, federated causal discovery, federated learning, interpretable

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery

Mian, Osman; Kamp, Michael; Vreeken, Jilles

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments Proceedings Article

In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.

BibTeX | Tags: causal discovery, causality, federated, federated causal discovery, federated learning, intervention

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments