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  1. Understanding the Evidence Lower Bound (ELBO) - Cross Validated

    Jun 24, 2022 · The illustration seems to indicate that ELBO can be positive, so I am a little confused. Now the main question: I understand ELBO is a lower bound of the log-likelihood so …

  2. maximum likelihood - ELBO - Jensen Inequality - Cross Validated

    Jan 22, 2024 · ELBO - Jensen Inequality Ask Question Asked 1 year, 10 months ago Modified 2 months ago

  3. Which exact loss do we minimize in a VAE model?

    Apr 26, 2022 · Yes, maximizing the ELBO is equivalent to minimizing the negative ELBO. This is a sign convention. You minimize the negative ELBO (also called the variational free energy) in …

  4. Is MSE loss a valid ELBO loss to measure? - Cross Validated

    Jun 30, 2022 · The Kingma et al. paper is very readable, and a good place to start understanding how and why VAEs work. Kingma, Diederik P., and Max Welling. "Auto-encoding variational …

  5. How does maximizing ELBO in Bayesian neural networks give us …

    Oct 1, 2022 · In Bayesian/variational neural networks one often uses the Evidence Lower BOund (ELBO) as the objective function to optimize with respect to the model parameters.

  6. autoencoders - VAEs - Two questions regarding the posterior and …

    Oct 16, 2024 · I'm deeply failing to understand the first step in the ELBO derivation in VAEs. When asking my questions I'll also try to clearly state my assumptions and perhaps some of …

  7. maximum likelihood - VQ-VAE objective - is it ELBO maximization, …

    Oct 19, 2022 · thanks! so if the ELBO itself is tractable - why does rocca show that we are optimizing the KL divergence? he shows that we can develop the KL divergence between the …

  8. Why does Variational Inference work? - Cross Validated

    Jun 24, 2024 · ELBO is a lower bound, and only matches the true likelihood when the q-distribution/encoder we choose equals to the true posterior distribution. Are there any …

  9. Clarification on the ELBO derivation in diffusion Models

    Jan 29, 2025 · 3 I am reading a paper about denoising diffusion models and on page 10, it has the following derivation of the ELBO.

  10. What is the relationship between VAE and EM algorithm?

    Jul 29, 2020 · Because one can write the ELBO, which is usually considered as a function of parametrized by and ( are the parameters of the encoder ), as a functional of and a function of …