Liskiewicz, Maciej

20 publications

ICLR 2025 From Probability to Counterfactuals: The Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liskiewicz
AAAI 2024 Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz
NeurIPS 2024 On the Complexity of Identification in Linear Structural Causal Models Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liśkiewicz
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
IJCAI 2023 The Hardness of Reasoning About Probabilities and Causality Benito van der Zander, Markus Bläser, 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
UAI 2019 Finding Minimal D-Separators in Linear Time and Applications Benito Zander, Maciej Liśkiewicz
AAAI 2017 Learning Residual Alternating Automata Sebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk
AISTATS 2016 On Searching for Generalized Instrumental Variables Benito van der Zander, Maciej Liskiewicz
AAAI 2016 Separators and Adjustment Sets in Markov Equivalent DAGs Benito van der Zander, Maciej Liskiewicz
IJCAI 2015 Efficiently Finding Conditional Instruments for Causal Inference Benito van der Zander, Johannes Textor, Maciej Liskiewicz
UAI 2015 Learning from Pairwise Marginal Independencies Johannes Textor, Alexander Idelberger, Maciej Liskiewicz
UAI 2014 Constructing Separators and Adjustment Sets in Ancestral Graphs Benito van der Zander, Maciej Liskiewicz, Johannes Textor
UAI 2011 Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective Johannes Textor, Maciej Liskiewicz