4 citations · 9 across the 5 of their papers we have counts for
1 paper · 2 filters
Christian Hirsch, Daniel Willhalm
We study large deviations in the context of stochastic gradient descent for one-hidden-layer neural networks with quadratic loss. We derive a quenched large deviation principle, wh…