David Kaltenpoth

According to our database, David Kaltenpoth authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition.

David Kaltenpoth, Jilles Vreeken

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learning Causal Models under Independent Changes.

Sarah Mameche, David Kaltenpoth, Jilles Vreeken

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nonlinear Causal Discovery with Latent Confounders.

David Kaltenpoth, Jilles Vreeken

Proceedings of the International Conference on Machine Learning, 2023

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery.

Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Identifying Selection Bias from Observational Data.

David Kaltenpoth, Jilles Vreeken

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Regret-based Federated Causal Discovery.

Osman Mian, David Kaltenpoth, Michael Kamp

Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

Discovering Invariant and Changing Mechanisms from Data.

Sarah Mameche, David Kaltenpoth, Jilles Vreeken

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Discovering Functional Dependencies from Mixed-Type Data.

Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

We Are Not Your Real Parents: Telling Causal from Confounded using MDL.

David Kaltenpoth, Jilles Vreeken

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019