Determining the John ellipsoid-the largest volume ellipsoid contained within a convex
polytope-is a fundamental problem with applications in machine learning, optimization, and …

Linear regression is a fundamental and primitive problem in supervised machine learning,
with applications ranging from epidemiology to finance. In this work, we propose methods for …

In this work, we show that if local datasets in a distributed network are appropriately
compressed and then aggregated, it can result in a compressed version of the union of the …

Linear algebraic operations are ubiquitous in engineering applications, and arise often in a
variety of fields including statistical signal processing and machine learning. With …

With the advent of massive datasets, distributed techniques for processing information and
carrying out computations are expected to enable exceptional possibilities for engineering …