Sparse Optimization on Measures with Over-parameterized Gradient Descent

Lenaic Chizat

Minimizing a convex function of a measure with a sparsity-inducing penalty is a typical problem arising, e.g., in sparse spikes deconvolution or two-layer neural networks training.…