Discovering fully oriented causal networks OA Mian, A Marx, J Vreeken Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8975-8982, 2021 | 31 | 2021 |
Inferring cause and effect in the presence of heteroscedastic noise S Xu, OA Mian, A Marx, J Vreeken International Conference on Machine Learning, 24615-24630, 2022 | 16 | 2022 |
Information-theoretic causal discovery and intervention detection over multiple environments O Mian, M Kamp, J Vreeken Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9171-9179, 2023 | 7 | 2023 |
Causal Inference with Heteroscedastic Noise Models. S Xu, A Marx, O Mian, J Vreeken Proceedings of the AAAI Workshop on Information Theoretic Causal Inference …, 2022 | 6 | 2022 |
Nothing but Regrets—Privacy-Preserving Federated Causal Discovery O Mian, D Kaltenpoth, M Kamp, J Vreeken International Conference on Artificial Intelligence and Statistics, 8263-8278, 2023 | 5 | 2023 |
Regret-based federated causal discovery O Mian, D Kaltenpoth, M Kamp The KDD'22 Workshop on Causal Discovery, 61-69, 2022 | 4 | 2022 |
Learning Causal Networks from Episodic Data O Mian, S Mameche, J Vreeken Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
An Information Theoretic Framework for Continual Learning of Causal Networks. O Mian, S Mameche | | 2024 |
Causal Discovery using MDL-based Regression OA Mian Universität des Saarlandes Saarbrücken, 2019 | | 2019 |