conftrace_

markov equivalence

33 papers

Explore in graph

Co-occurring keywords

causal discovery (460) graphical model (864) directed acyclic graph (245) structure learning (341) causal inference (1630) markov equivalence class (37) bayesian network (378) causal structure (88) partial ancestral graph (7) causal identification (37)

Papers

Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
Practical Algorithms for Orientations of Partially Directed Graphical Models CLEAR 2023
Establishing Markov equivalence in cyclic directed graphs UAI 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
Characterization and Learning of Causal Graphs with Small Conditioning Sets NIPS 2023
Efficient Enumeration of Markov Equivalent DAGs AAAI 2023
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding CLEAR 2023
Reframed GES with a neural conditional dependence measure UAI 2022
A new constructive criterion for Markov equivalence of MAGs UAI 2022
Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness NIPS 2022
Greedy equivalence search in the presence of latent confounders UAI 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints NIPS 2022
Conditions and Assumptions for Constraint-based Causal Structure Learning JMLR 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs AAAI 2021
Markov equivalence of max-linear Bayesian networks UAI 2021
Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs ICML 2020
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption ALT 2020
Faster algorithms for Markov equivalence UAI 2020
Ordering-Based Causal Structure Learning in the Presence of Latent Variables AISTATS 2020
Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019
Causal Identification under Markov Equivalence: Completeness Results ICML 2019
Identification of Conditional Causal Effects under Markov Equivalence NIPS 2019
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019