Co-occurring keywords · papers mentioning both
Papers
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
UAI 2025
Causal Imitability Under Context-Specific Independence Relations
NeurIPS 2023
Causal Effect Identification with Context-specific Independence Relations of Control Variables
AISTATS 2022
Explaining Deep Tractable Probabilistic Models: The sum-product network case
PGM 2022
Context-Specific Likelihood Weighting
AISTATS 2021
A New Perspective on Learning Context-Specific Independence
PGM 2020
Constructing a Chain Event Graph from a Staged Tree
PGM 2020
Identifying Causal Effects via Context-specific Independence Relations
NeurIPS 2019
Instance-Specific Bayesian Network Structure Learning
PGM 2018
Structure Learning for Bayesian Networks over Labeled DAGs
PGM 2018
Learning Efficient Markov Networks
NeurIPS 2010