Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Calculation of KL divergence #57

Open
Wty1122 opened this issue Jul 1, 2024 · 0 comments
Open

Calculation of KL divergence #57

Wty1122 opened this issue Jul 1, 2024 · 0 comments

Comments

@Wty1122
Copy link

Wty1122 commented Jul 1, 2024

Your work is very interesting, but I still have some confusion about the calculation of KL divergence.

In the paper, is Appendix E calculating the prior distribution of 𝑍, i.e., 𝑃(𝑍)? Since it involves λ(𝑋) and 𝑅, we need to use 𝑄(𝑍) for variational approximation?

However, in the KL divergence calculation, when calculating 𝑃(𝑍∣𝑅), λ and 𝑅 are assumed to be constants. Why can λ and 𝑅 be considered constants? Is it because λ and 𝑅 are deterministic outputs given 𝑋? Do we not need to consider the distribution of
λ?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant