Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy

Yitong He, Pengcheng Xie

Solving large-scale optimization problems is a bottleneck and is very important for machine learning and multiple kinds of scientific problems. Subspace-based methods using the loc…