Low-Rank Optimization

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization

The problem of finding suitable point embedding or geometric configurations given only Euclidean distance information of point pairs arises both as a core task and as a sub-problem in a variety of machine learning applications. In this paper, we aim …