mlsanityData to 7 Oct 2026

Addendum on the scoring of Gaussian directed acyclic graphical models

arXiv 1402.6863 ↗First posted 27 Feb 2014stat.ML stat.MEcited by 32

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Abstract (arXiv)

We provide a correction to the expression for scoring Gaussian directed acyclic graphical models derived in Geiger and Heckerman [Ann. Statist. 30 (2002) 1414-1440] and discuss how to evaluate the score efficiently.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Feb 2014.

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Citing papers per year: 2021: 5; 2022: 10; 2023: 5; 2024: 7; 2025: 3; 2026: 2.

32 papers.

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  1. 2022Bayesian Structure Learning with Generative Flow Networkscited by 153
  2. 2021DiBS: Differentiable Bayesian Structure Learningcited by 105
  3. 2022GFlowNets and variational inferencecited by 103
  4. 2021A survey of Bayesian Network structure learningcited by 85
  5. 2021Variational Causal Networks: Approximate Bayesian Inference over Causal Structurescited by 43
  6. 2023BayesDAG: Gradient-Based Posterior Inference for Causal Discoverycited by 33
  7. 2022Active Learning for Optimal Intervention Design in Causal Modelscited by 30
  8. 2022BaCaDI: Bayesian Causal Discovery with Unknown Interventionscited by 26
  9. 2022Differentiable Causal Discovery Under Latent Interventionscited by 21
  10. 2022Tractable Uncertainty for Structure Learningcited by 15
  11. 2021Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithmscited by 11
  12. 2021Semiparametric Bayesian Networkscited by 6
20 more
  1. 2024Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Methodcited by 6
  2. 2023Boosting Differentiable Causal Discovery via Adaptive Sample Reweightingcited by 5
  3. 2024Challenges and Considerations in the Evaluation of Bayesian Causal Discoverycited by 5
  4. 2022The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventionscited by 4
  5. 2023Discovering Dynamic Causal Space for DAG Structure Learningcited by 4
  6. 2023A Bayesian Take on Gaussian Process Networkscited by 4
  7. 2024GFlowNet Training by Policy Gradientscited by 4
  8. 2024psiDAG: Projected Stochastic Approximation Iteration for DAG Structure Learningcited by 3
  9. 2022DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networkscited by 2
  10. 2023Directed Acyclic Graphs With Tearscited by 2
  11. 2024Bayesian Causal Inference with Gaussian Process Networkscited by 2
  12. 2025Transformers Provably Learn Directed Acyclic Graphs via Kernel-Guided Mutual Informationcited by 2
  13. 2025Causal Discovery via Bayesian Optimizationcited by 1
  14. 2026Evaluating GFlowNet from partial episodes for stable and flexible policy-based trainingcited by 1
  15. 2022Causality Learning With Wasserstein Generative Adversarial Networkscited by 0
  16. 2022CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraintscited by 0
  17. 2024Exact discovery is polynomial for certain sparse causal Bayesian networkscited by 0
  18. 2024CURATE: Scaling-up Differentially Private Causal Graph Discoverycited by 0
  19. 2025Scaling Up Bayesian DAG Samplingcited by 0
  20. 2026How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confoundingcited by 0