Recovering Causal Structures from Low-Order Conditional Independencies. - Marcel Wienöbst; Maciej Liskiewicz (AAAI, 2020)

PACE Solver Description: Fluid. - Max Bannach; Sebastian Berndt 001; Martin Schuster; Marcel Wienöbst (IPEC, 2020)

PACE Solver Description: PID^⋆. - Max Bannach; Sebastian Berndt 001; Martin Schuster; Marcel Wienöbst (IPEC, 2020)

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs. - Marcel Wienöbst; Max Bannach; Maciej Liskiewicz (AAAI, 2021)

Recent Advances in Counting and Sampling Markov Equivalent DAGs. - Marcel Wienöbst; Max Bannach; Maciej Liskiewicz (KI, 2021)

An Approach to Reduce the Number of Conditional Independence Tests in the PC Algorithm. - Marcel Wienöbst; Maciej Liskiewicz (KI, 2021)

Extendability of causal graphical models: Algorithms and computational complexity. - Marcel Wienöbst; Max Bannach; Maciej Liskiewicz (UAI, 2021)

Identification in Tree-shaped Linear Structural Causal Models. - Benito van der Zander; Marcel Wienöbst; Markus Bläser; Maciej Liskiewicz (AISTATS, 2022)

A new constructive criterion for Markov equivalence of MAGs. - Marcel Wienöbst; Max Bannach; Maciej Liskiewicz (UAI, 2022)

Finding Front-Door Adjustment Sets in Linear Time. - Marcel Wienöbst; Benito van der Zander; Maciej Liskiewicz (CoRR, 2022)

Efficient Enumeration of Markov Equivalent DAGs. - Marcel Wienöbst; Malte Luttermann; Max Bannach; Maciej Liskiewicz (AAAI, 2023)

Practical Algorithms for Orientations of Partially Directed Graphical Models. - Malte Luttermann; Marcel Wienöbst; Maciej Liskiewicz (CLeaR, 2023)

Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs. - Moritz Schauer; Marcel Wienöbst (CoRR, 2023)

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications. - Marcel Wienöbst; Max Bannach; Maciej Liskiewicz (J. Mach. Learn. Res., 2023)

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs. - Marcel Wienöbst; Benito van der Zander; Maciej Liskiewicz (AAAI, 2024)

PACE Solver Description: UzL Exact Solver for One-Sided Crossing Minimization. - Max Bannach; Florian Chudigiewitsch; Kim-Manuel Klein; Marcel Wienöbst (IPEC, 2024)

Causal Structure Learning With Momentum: Sampling Distributions Over Markov Equivalence Classes. - Moritz Schauer; Marcel Wienöbst (PGM, 2024)

Linear-Time Primitives for Algorithm Development in Graphical Causal Inference. - Marcel Wienöbst; Sebastian Weichwald; Leonard Henckel (CoRR, 2025)