no code implementations • NeurIPS 2019 • Pierre Bellec, Arun Kuchibhotla
Such first order expansion implies that the risk of $\hat{\beta}$ is asymptotically the same as the risk of $\eta$ which leads to a precise characterization of the MSE of $\hbeta$; this characterization takes a particularly simple form for isotropic design.