Wienöbst, Marcel

10 publications

PGM 2024 Causal Structure Learning with Momentum: Sampling Distributions over Markov Equivalence Classes Moritz Schauer, Marcel Wienöbst

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

AAAI 2023 Efficient Enumeration of Markov Equivalent DAGs Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz

JMLR 2023 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz

CLeaR 2023 Practical Algorithms for Orientations of Partially Directed Graphical Models Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz

AISTATS 2022 Identification in Tree-Shaped Linear Structural Causal Models Benito Van Der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz

UAI 2022 A New Constructive Criterion for Markov Equivalence of MAGs Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz

UAI 2021 Extendability of Causal Graphical Models: Algorithms and Computational Complexity Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz

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

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