On Structure Priors for Learning Bayesian Networks

By Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto. 2019

29 citations recorded by the source corpus.

Subfields: Probabilistic & Bayesian Methods

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In Probabilistic & Bayesian Methods

1. Yoshua Bengio
2. Tristan Deleu
3. Simon Lacoste-Julien
4. Stefan Bauer
5. Chris C. Emezue
6. Ant'onio G'ois
7. Mansi Rankawat
8. Pascal Vincent

Citations in the corpus

• Bayesian Structure Learning with Generative Flow Networks (2022, background): “For any DAG G , we will define its reward as the joint probability where P ( G ) is a prior over DAGs (Eggeling et al., 2019), and P ( D | G ) is the marginal likelihood.”