EGD statistical-radius conjecture in the middle SNR regime

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Let the generalized linear model have link-function power p=2p=2, and let the true parameter θ∗\theta^{*} satisfy

C1(d/n)1/4≤∥θ∗∥≤C2,C_{1}(d/n)^{1/4}\leq \lVert\theta^{*}\rVert\leq C_{2},

where C1C_{1} and C2C_{2} are universal constants. Let the EGD initialization satisfy θn0∈B(θ∗,ρ)\theta_n^0\in\mathbb{B}(\theta^{*},\rho) for a constant ρ\rho.

EGD statistical-radius conjecture. There exist universal constants C3,C4,C5C_{3},C_{4},C_{5} such that, whenever n≥C3(dlog⁡(d/δ))4n\geq C_{3}(d\log(d/\delta))^{4} and t≥C4log⁡(n/(d+log⁡(1/δ)))t\geq C_{4}\log(n/(d+\log(1/\delta))), with probability 1−δ1-\delta,

min⁡1≤k≤t∥θnk−θ∗∥≤C51∥θ∗∥dn.\min_{1\leq k\leq t}\lVert\theta_n^k-\theta^{*}\rVert\leq C_{5}\frac{1}{\lVert\theta^{*}\rVert}\sqrt{\frac{d}{n}}.

This conjecture would provide a logarithmic-iteration statistical guarantee for EGD in the middle SNR regime, matching the expected computational advantage over GD. The paper notes that establishing the required homogeneous assumption for the population loss is the main obstacle, so the claim remains open.

References

Primary source

Nhat Ho, Tongzheng Ren, Sujay Sanghavi, Purnamrita Sarkar and Rachel Ward, “An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models”, arXiv:2205.07999 (2023).

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