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

Measuring Uncertainty - epistemic & aleatoric #13

Open
Saadmaghani opened this issue Mar 1, 2022 · 1 comment
Open

Measuring Uncertainty - epistemic & aleatoric #13

Saadmaghani opened this issue Mar 1, 2022 · 1 comment

Comments

@Saadmaghani
Copy link

Firstly, thanks for the amazing repo. I'm a complete beginner and this repo really broke BNNs down simply in a very hands-on manner.

Could you guide me on how to calculate the uncertainty and break it into its epistemic & aleatoric components using TyXe?

Thanks!

@gtpash
Copy link

gtpash commented Jun 20, 2022

I believe that this library may only handle epistemic uncertainty currently. From section 2.1.2 of the TyXe paper:

At this time, we restrict the probabilistic model definition to weight space priors.

Weight uncertainty only accounts for the epistemic uncertainty of the model. To model the aleatoric uncertainty, one would need to incorporate a model for noise on either the inputs/outputs (or both!) a la Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning.

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

2 participants