Osman Ali Mian

Publications

2026

• Tagliapietra, N, Ensinger, K, Zimmer, C & Mian, O Causal Structure Learning for Dynamical Systems with Consistency Guarantees. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2026. (17.6% acceptance rate).

• Siji, A, Cueppers, J, Mian, O & Vreeken, J Seqret: Mining Rule Sets from Event Sequences. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2026. (17.6% acceptance rate).

2025

• Mian, O, Kleesiek, J & Kamp, M Identifying Causal Sources from Missing Data In: EurIPS Workshop on Causality for Impact (CausalityImpac), 2025.

• Chatzianastasiou, R-M, Mian, O & Vreeken, J Efficient Greedy Equivalence Search for Non-Score-Equivalent Criteria using Sampling. In: Uncovering Causality in Science (CauScien@NeurIPS), 2025. PDF.

• Mian, O, Practically Applicable Causal Discovery. Ph.D. Dissertation Saarland University, 2025. PDF.

2024

• Mian, O*, Mameche, S* & Vreeken, J Learning Causal Networks from Episodic Data. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), ACM, 2024. PDF.

• Mian, O*, Mameche, S* & Vreeken, J Causal Discovery from Episodic Data. In: The Fourth Workshop of Artificial Intelligence for Time Series Analysis (AI4TS) at AAAI Conference on Artificial Intelligence (AAAI), 2024. PDF.

• Mian, O & Mameche, S An Information Theoretic Framework for Continual Learning of Causal Networks. In: Proceedings of The Second AAAI Bridge Program on Continual Causality at AAAI Conference on Artificial Intelligence (AAAI), PMLR, 2024. PDF.

2023

• Mian, O, Kaltenpoth, D, Kamp, M & Vreeken, J Nothing but Regrets --- Privacy-Preserving Federated Causal Discovery. In: Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.  PDF.

• Mian, O, Kamp, M & Vreeken, J Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2023. PDF. Code. Presentation.

2022

• Mian, O, Kaltenpoth, D & Kamp, M Regret-based Federated Causal Discovery. In: Proceedings of the ACM SIGKDD Workshop on Causal Discovery, PMLR, 2022. PDF.

• Xu, S, Mian, O, Marx, A & Vreeken, J Inferring Cause and Effect in the Presence of Heteroscedastic Noise. In: Proceedings of the International Conference on Machine Learning (ICML), PMLR, 2022. PDF. Code.

• Xu, S, Marx, A, Mian, O & Vreeken, J Causal Inference with Heteroscedastic Noise Models. In: Proceedings of the AAAI Workshop on Information Theoretic Causal Inference and Discovery (ITCI'22), 2022. PDF.

2021

• Mian, O, Marx, A & Vreeken, J Discovering Fully Oriented Causal Networks. In: Proceedings of the AAAI Conference on Artificial Intelligence, AAAI, 2021. PDF. Code. 

2019

• Mian, O Causal Discovery using MDL-based Regression. M.Sc. Thesis, Saarland University, 2019. PDF.