Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection

We consider the high-dimensional linear regression problem, where the algorithmic goal is to efficiently infer an unknown feature vector $\beta ^{*}\in \mathbb {R}^{p}$ from its linear measurements, using a small number $n$ of samples. Unlike most of the...