most citedWhat You See is What You Get: Principled Deep Learning via Distributional Generalization

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2026

On Choosing the Parameter in Gaussian Differential Privacy

Bogdan Kulynych, Antti Honkela

Recent work argues for using Gaussian differential privacy (GDP) to report the privacy guarantees in privacy-preserving machine learning. We provide principled mappings from pure-D…

cs.LG2022★ 1 cited

What You See is What You Get: Principled Deep Learning via Distributional Generalization

Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu +2

Having similar behavior at training time and test time what we call a "What You See Is What You Get" (WYSIWYG) property is desirable in machine learning. Models trained wit…