2019
Are we there yet? Manifold identification of gradient-related proximal methods
AISTATS 2019poster
In machine learning, models that generalize better often generate outputs that lie on a low-dimensional manifold. Recently, several works have separately shown finite-time manifold identification by some proximal methods. In this work we provide a unified view by giving a simple condition under whi…