This is a tutorial on Planar Flows and their generalization to Sylvester Flows for AI Sweden's ctrl-allt-dela learning series. ├── README.md ## this file! ├── Ctrl-Allt-Dela-NF-talk-notes.pdf # ...

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Normalizing constant (also called partition function, Bayesian evidence, or marginal likelihood) is one of the central goals of Bayesian inference, yet most of the existing methods are both expensive ...

Gaussian graphical models have received considerable attention during the past four decades from the statistical and machine learning communities. In Bayesian treatments of this model, the G-Wishart ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet parameter inference for such models remains highly challenging—particularly when ...

Abstract: Normalizing constant recurrence equations play an important role in the exact analysis of load-independent (LI) product-form queueing networks. However, they have not been extended to the ...