We are not your real parents: Telling causal from confounded using MDL D Kaltenpoth, J Vreeken Proceedings of the 2019 SIAM International Conference on Data Mining, 199-207, 2019 | 26 | 2019 |
Discovering functional dependencies from mixed-type data P Mandros, D Kaltenpoth, M Boley, J Vreeken Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 15 | 2020 |
Nonlinear causal discovery with latent confounders D Kaltenpoth, J Vreeken International Conference on Machine Learning, 15639-15654, 2023 | 6 | 2023 |
Identifying selection bias from observational data D Kaltenpoth, J Vreeken Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8177-8185, 2023 | 5 | 2023 |
Causal discovery with hidden confounders using the algorithmic Markov condition D Kaltenpoth, J Vreeken Uncertainty in Artificial Intelligence, 1016-1026, 2023 | 4 | 2023 |
Discovering invariant and changing mechanisms from data S Mameche, D Kaltenpoth, J Vreeken Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
Identifying Confounding from Causal Mechanism Shifts S Mameche, J Vreeken, D Kaltenpoth International Conference on Artificial Intelligence and Statistics, 4897-4905, 2024 | 3 | 2024 |
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 | 3 | 2023 |
Regret-based federated causal discovery O Mian, D Kaltenpoth, M Kamp The KDD'22 Workshop on Causal Discovery, 61-69, 2022 | 3 | 2022 |
Learning causal models under independent changes S Mameche, D Kaltenpoth, J Vreeken Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition (Supplementary Material) D Kaltenpoth, J Vreeken | | |