Publications

aimhi black-box black-box parallelization causal discovery causality co-training complexity dataset deep learning explainability explainable FedDC federated federated causal discovery federated learning fine-tuning GNN graph neural networks interpretability interpretable intervention layer-wise linear mode connectivity machine learning medicine nephrology rule ensemble rule mining theory of deep learning XAI

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2023

Mian, Michael Kamp David Kaltenpoth Osman

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)

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)