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markov equivalence class

52 papers

MEC

Papers

Efficient Enumeration of Markov Equivalent DAGs AAAI 2023 Local Causal Discovery for Estimating Causal Effects CLeaR 2023 Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables AAAI 2023 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023 Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023 Subset verification and search algorithms for causal DAGs AISTATS 2023 Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions AISTATS 2022 A Transformational Characterization of Unconditionally Equivalent Bayesian Networks PGM 2022 A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption CLeaR 2022 Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022 Intervention target estimation in the presence of latent variables UAI 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Local Constraint-Based Causal Discovery under Selection Bias CLeaR 2022 Ordinal causal discovery UAI 2022 Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ICML 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Minimal enumeration of all possible total effects in a Markov equivalence class AISTATS 2021 Scalable Intervention Target Estimation in Linear Models NeurIPS 2021 Knowledge Transfer for Learning Markov Equivalence Classes PGM 2020 LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments ICML 2020 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019 Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019 Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions ICML 2018 Learning Bayesian Networks by Branching on Constraints PGM 2018 Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2015