2026
Sparse Polyak with optimal thresholding operators for high-dimensional M-estimation
ICASSP 2026poster
We propose and analyze a variant of Sparse Polyak for high dimensional M-estimation problems. Sparse Polyak proposes a novel adaptive step-size rule tailored to suitably estimate the problem's curvature in the high-dimensional setting, guaranteeing that the algorithm's performance does not deteriora…