3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023
How regularization affects the geometry of loss functions
Nathaniel Bottman, Y. Cooper, Antonio Lerario
What neural networks learn depends fundamentally on the geometry of the underlying loss function. We study how different regularizers affect the geometry of this function. One of t…
math.CO2022★ 3 cited
Constrainahedra
Nathaniel Bottman, Daria Poliakova
We define a family of convex polytopes called constrainahedra, which index collisions of horizontal and vertical lines. Our construction proceeds by first defining a poset …