overparameterized neural networks

3 papers

• Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
• Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
• Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks