Marcel Wienöbst

According to our database, Marcel Wienöbst authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs.

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

J. Mach. Learn. Res., 2023

Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs.

Moritz Schauer, Marcel Wienöbst

CoRR, 2023

Practical Algorithms for Orientations of Partially Directed Graphical Models.

Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Efficient Enumeration of Markov Equivalent DAGs.

Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz

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

2022

Finding Front-Door Adjustment Sets in Linear Time.

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

CoRR, 2022

A new constructive criterion for Markov equivalence of MAGs.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Identification in Tree-shaped Linear Structural Causal Models.

Benito van der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Extendability of causal graphical models: Algorithms and computational complexity.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

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

An Approach to Reduce the Number of Conditional Independence Tests in the PC Algorithm.

Marcel Wienöbst, Maciej Liskiewicz

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Recent Advances in Counting and Sampling Markov Equivalent DAGs.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

PACE Solver Description: PID^⋆.

Max Bannach, Sebastian Berndt, Martin Schuster, Marcel Wienöbst

Proceedings of the 15th International Symposium on Parameterized and Exact Computation, 2020

PACE Solver Description: Fluid.

Max Bannach, Sebastian Berndt, Martin Schuster, Marcel Wienöbst

Proceedings of the 15th International Symposium on Parameterized and Exact Computation, 2020

Recovering Causal Structures from Low-Order Conditional Independencies.

Marcel Wienöbst, Maciej Liskiewicz

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020