David Strieder

According to our database, David Strieder authored at least 4 papers between 2021 and 2025.

Collaborative distances:

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

2025

Identifying total causal effects in linear models under partial homoscedasticity.

David Strieder, Mathias Drton

Int. J. Approx. Reason., 2025

2024

Dual Likelihood for Causal Inference under Structure Uncertainty.

David Strieder, Mathias Drton

Proceedings of the Causal Learning and Reasoning, 2024

2023

Rank-Based Causal Discovery for Post-Nonlinear Models.

Grigor Keropyan, David Strieder, Mathias Drton

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

2021

Confidence in causal discovery with linear causal models.

David Strieder, Tobias Freidling, Stefan Haffner, Mathias Drton

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021