4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Learning threshold neurons via the "edge of stability"
Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi +3
Existing analyses of neural network training often operate under the unrealistic assumption of an extremely small learning rate. This lies in stark contrast to practical wisdom and…
math.OC2021★ 4 cited
Riemannian Perspective on Matrix Factorization
Kwangjun Ahn, Felipe Suarez
We study the non-convex matrix factorization approach to matrix completion via Riemannian geometry. Based on an optimization formulation over a Grassmannian manifold, we characteri…