We Are Not Your Real Parents: Telling Causal from Confounded using MDL. - David Kaltenpoth; Jilles Vreeken (SDM, 2019)

Discovering Functional Dependencies from Mixed-Type Data. - Panagiotis Mandros; David Kaltenpoth; Mario Boley; Jilles Vreeken (KDD, 2020)

Discovering Invariant and Changing Mechanisms from Data. - Sarah Mameche; David Kaltenpoth; Jilles Vreeken (KDD, 2022)

Regret-based Federated Causal Discovery. - Osman Mian; David Kaltenpoth; Michael Kamp (CD@KDD, 2022)

Identifying Selection Bias from Observational Data. - David Kaltenpoth; Jilles Vreeken (AAAI, 2023)

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. - Osman Mian; David Kaltenpoth; Michael Kamp; Jilles Vreeken (AISTATS, 2023)

Nonlinear Causal Discovery with Latent Confounders. - David Kaltenpoth; Jilles Vreeken (ICML, 2023)

Learning Causal Models under Independent Changes. - Sarah Mameche; David Kaltenpoth; Jilles Vreeken (NeurIPS, 2023)

Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition. - David Kaltenpoth; Jilles Vreeken (UAI, 2023)

Identifying Confounding from Causal Mechanism Shifts. - Sarah Mameche; Jilles Vreeken; David Kaltenpoth (AISTATS, 2024)