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David Kaltenpoth
David Kaltenpoth
CISPA Helmholtz Center for Information Security
Verified email at cispa.de
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Cited by
Cited by
Year
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
242019
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
92020
Nonlinear causal discovery with latent confounders
D Kaltenpoth, J Vreeken
International Conference on Machine Learning, 15639-15654, 2023
32023
Causal discovery with hidden confounders using the algorithmic Markov condition
D Kaltenpoth, J Vreeken
Uncertainty in Artificial Intelligence, 1016-1026, 2023
32023
Identifying selection bias from observational data
D Kaltenpoth, J Vreeken
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8177-8185, 2023
22023
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
22023
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
22022
Regret-based federated causal discovery
O Mian, D Kaltenpoth, M Kamp
The KDD'22 Workshop on Causal Discovery, 61-69, 2022
22022
Learning Causal Models under Independent Changes
S Mameche, D Kaltenpoth, J Vreeken
Advances in Neural Information Processing Systems 36, 2024
12024
Identifying Confounding from Causal Mechanism Shifts
S Mameche, J Vreeken, D Kaltenpoth
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition (Supplementary Material)
D Kaltenpoth, J Vreeken
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Articles 1–11