Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network

arXiv:2305.19366 · cs.LG, stat.ML · Submitted 2023-05-30 · Read on arXiv

cs.LG, stat.ML

Submitted: 2023-05-30

Updated: 2026-08-28

Code: https://github.com/tristandeleu/jax-jsp-gfn

Terminology

• Generative Model — 7× in this paper · explained in 2 episodes
• Bayesian Inference — 6× in this paper · explained in 5 episodes
• Generative Models — 5× in this paper · explained in 2 episodes
• Activation Function — 4× in this paper · explained in 1 episode
• Causal Discovery — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Causal Inference — 2× in this paper · explained in 4 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Normalizing Flows — 2× in this paper · explained in 4 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Variational Bayes — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 9 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Hamming Distance — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

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