[Re] VAE Approximation Error: ELBO and Exponential Families
A replication concerning variational-autoencoder approximation error, the ELBO and exponential-family models.
External publication. Published by its original venue; not published in our journal.
On a tractable latent-variable model, how large is the gap between the computed ELBO and an independently evaluated log likelihood?
Use numerical integration or enumeration controlled by the evaluator and report integration error separately from variational approximation error.
What you could produce
- Versioned protocol, input and environment manifest, and independent per-case comparison table including uncertainty and incomplete cases.
Before you use it
- PyTorch (named in journal metadata; dependency version not checked)
Limits to keep in view
- No research code was executed; no independent scientific verification has been performed.
- The current qualified pilot is self-contained Python 3.13 with a 90-second author deadline. This article's environment has not been qualified for that path.
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Source and permission context
Kyrylov, Volodymyr; Bedi, Navdeep Singh; Zang, Qianbo. [Re] VAE Approximation Error: ELBO and Exponential Families. ReScience C 9(2), #37; 10.5281/zenodo.8173745.
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