Gen Li

A nonasymptotic distributional theory of approximate message passing for sparse and robust regression

The results establish approximate accuracy of Gaussian approximation of the AMP iterates, which improves upon prior results and implies enhanced distributional characterizations for both optimally tuned Lasso and robust M-estimator.