Introduction of Generative Bayesian Models For Discrete
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Lecture 14 - Generative Models For Discrete Data
Using Bayesian Approaches & Sausage Plots to Improve Machine Learning - Computerphile
Bayes theorem, the geometry of changing beliefs
Generative Bayesian Modeling with Implicit Priors (Paul Buerkner)
Discrete generative modeling with masked diffusions (Jiaxin Shi, Google DeepMind)
Modeling a distribution of images - Bayesian Methods for Machine Learning
Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data
How to code up a model with discrete parameters in Stan
Bayesian Networks
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Last Updated: June 14, 2026
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