Marcel Wienöbst

26 papers A* 4A 3B 4Misc 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning. CoRR Marcel Wienöbst, Leonard Henckel, Sebastian Weichwald
2025	J	`jnl`	Linear-Time Primitives for Algorithm Development in Graphical Causal Inference. CoRR Marcel Wienöbst, Sebastian Weichwald, Leonard Henckel
2025	B	`conf`	PACE Solver Description: UzL Solver for Dominating Set and Hitting Set. IPEC Max Bannach, Florian Chudigiewitsch, Marcel Wienöbst
2024	—	`conf`	Causal Structure Learning With Momentum: Sampling Distributions Over Markov Equivalence Classes. PGM Moritz Schauer, Marcel Wienöbst
2024	A*	`conf`	Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs. AAAI Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz
2024	B	`conf`	PACE Solver Description: UzL Exact Solver for One-Sided Crossing Minimization. IPEC Max Bannach, Florian Chudigiewitsch, Kim-Manuel Klein, Marcel Wienöbst
2023	J	`jnl`	Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs. CoRR Moritz Schauer, Marcel Wienöbst
2023	A*	`conf`	Efficient Enumeration of Markov Equivalent DAGs. AAAI Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz
2023	J	`jnl`	Efficient Enumeration of Markov Equivalent DAGs. CoRR Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz
2023	J	`jnl`	Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications. J. Mach. Learn. Res. Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2023	—	`conf`	Practical Algorithms for Orientations of Partially Directed Graphical Models. CLeaR Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz
2023	J	`jnl`	Practical Algorithms for Orientations of Partially Directed Graphical Models. CoRR Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz
2022	A	`conf`	A new constructive criterion for Markov equivalence of MAGs. UAI Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2022	J	`jnl`	Finding Front-Door Adjustment Sets in Linear Time. CoRR Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz
2022	A	`conf`	Identification in Tree-shaped Linear Structural Causal Models. AISTATS Benito van der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz
2022	J	`jnl`	Identification in Tree-shaped Linear Structural Causal Models. CoRR Benito van der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz
2022	J	`jnl`	Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications. CoRR Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2021	Misc	`conf`	An Approach to Reduce the Number of Conditional Independence Tests in the PC Algorithm. KI Marcel Wienöbst, Maciej Liskiewicz
2021	A	`conf`	Extendability of causal graphical models: Algorithms and computational complexity. UAI Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2021	A*	`conf`	Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs. AAAI Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2021	Misc	`conf`	Recent Advances in Counting and Sampling Markov Equivalent DAGs. KI Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2020	B	`conf`	PACE Solver Description: Fluid. IPEC Max Bannach, Sebastian Berndt, Martin Schuster, Marcel Wienöbst
2020	B	`conf`	PACE Solver Description: PID^⋆. IPEC Max Bannach, Sebastian Berndt, Martin Schuster, Marcel Wienöbst
2020	J	`jnl`	Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs. CoRR Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
2020	A*	`conf`	Recovering Causal Structures from Low-Order Conditional Independencies. AAAI Marcel Wienöbst, Maciej Liskiewicz
2020	J	`jnl`	Recovering Causal Structures from Low-Order Conditional Independencies. CoRR Marcel Wienöbst, Maciej Liskiewicz