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cs.IT2022
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature
Yufan Li, Zhou Fan, Subhabrata Sen +1
We study estimation in the linear model , in a Bayesian setting where has an entrywise i.i.d. prior and the design is rotationally-invariant in law. In…
cs.IT2022★ 5 cited
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices
Rishabh Dudeja, Subhabrata Sen, Yue M. Lu
It has been observed that the performances of many high-dimensional estimation problems are universal with respect to underlying sensing (or design) matrices. Specifically, matrice…