Provably Convergent Data-Driven Convex-Nonconvex Regularization

Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee +1

An emerging new paradigm for solving inverse problems is via the use of deep learning to learn a regularizer from data. This leads to high-quality results, but often at the cost of…