conftrace_

markov equivalence class

37 papers

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Also known as

MEC

Co-occurring keywords

causal discovery (460) directed acyclic graph (245) causal inference (1630) causal graph (140) graphical model (864) causal structure learning (63) markov equivalence (33) bayesian network (378) causal structure (88) structure learning (341)

Papers

Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond AAAI 2026
Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach CLEAR 2024
Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton AAAI 2024
Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
Conditional Adjustment in a Markov Equivalence Class AISTATS 2024
Learning Mixtures of Unknown Causal Interventions NIPS 2024
Causal Discovery under Off-Target Interventions AISTATS 2024
Local Causal Discovery for Estimating Causal Effects CLEAR 2023
Subset verification and search algorithms for causal DAGs AISTATS 2023
Efficient Enumeration of Markov Equivalent DAGs AAAI 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
Do we become wiser with time? On causal equivalence with tiered background knowledge UAI 2023
Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables AAAI 2023
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions AISTATS 2022
Local Constraint-Based Causal Discovery under Selection Bias CLEAR 2022
Intervention target estimation in the presence of latent variables UAI 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
Ordinal causal discovery UAI 2022
Matching a Desired Causal State via Shift Interventions NIPS 2021