Chaehwan Song

Subquadratic Overparameterization for Shallow Neural Networks

Overparameterization refers to the important phenomenon where the width of a neural network is chosen such that learning algorithms can provably attain zero loss in nonconvex training. The existing theory establishes such global convergence using various initialization strategies, training modificat…