2 papers
math.OC2021
Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective
Kabir Aladin Chandrasekher, Ashwin Pananjady, Christos Thrampoulidis
We consider a general class of regression models with normally distributed covariates, and the associated nonconvex problem of fitting these models from data. We develop a general…
stat.ML2020
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization
Ke Wang, Christos Thrampoulidis
Deep neural networks generalize well despite being exceedingly overparameterized and being trained without explicit regularization. This curious phenomenon has inspired extensive r…