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Found 2 papers, 1 papers with code
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
Discovering interaction effects on a response of interest is a fundamental problem faced in biology, medicine, economics, and many other scientific disciplines.
Overpruning in Variational Bayesian Neural Networks
The motivations for using variational inference (VI) in neural networks differ significantly from those in latent variable models.
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