Dimension-free bounds in high-dimensional linear regression via error-in-operator approach

Fedor Noskov, Nikita Puchkin, Vladimir Spokoiny

We consider a problem of high-dimensional linear regression with random design. We suggest a novel approach referred to as error-in-operator which does not estimate the design cova…