Skip to content

Code for "Informative Bayesian Neural Network Priors for Weak Signals"

License

Notifications You must be signed in to change notification settings

AaltoPML/informative_prior

 
 

Repository files navigation

Informative BNNs prior

Code for "Informative Bayesian Neural Network Priors for Weak Signals"


Three demos are included:

  • Feature selection task: feature_selection_demo.ipynb
  • Optimizing the hyper-parameters according to prior PVE: learning_pve_demo.ipynb
  • BNN regression with informative prior: BNN_demo.ipynb

Credits

  • The Energy dataset is from here.
  • The horseshoe prior code is adapted from here.
  • The original paper of Stein gradient estimator is here, and the code is adapted from here.

About

Code for "Informative Bayesian Neural Network Priors for Weak Signals"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 75.5%
  • Python 24.5%