Co-occurring keywords · papers mentioning both
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