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20132024
most citedMinimax risk of matrix denoising by singular value thresholding

132 citations · 305 across the 14 of their papers we have counts for

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cs.LG2013

The Maximum Entropy Relaxation Path

Moshe Dubiner, Matan Gavish, Yoram Singer

The relaxed maximum entropy problem is concerned with finding a probability distribution on a finite set that minimizes the relative entropy to a given prior distribution, while sa…

math.ST2013

Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model

David L. Donoho, Matan Gavish, Iain M. Johnstone

We show that in a common high-dimensional covariance model, the choice of loss function has a profound effect on optimal estimation. In an asymptotic framework based on the Spiked…

stat.ME2013★ 31 cited

The Optimal Hard Threshold for Singular Values is 4/sqrt(3)

Matan Gavish, David L. Donoho

We consider recovery of low-rank matrices from noisy data by hard thresholding of singular values, where singular values below a prescribed threshold are set to 0. We study the…

math.ST2013★ 132 cited

Minimax risk of matrix denoising by singular value thresholding

David Donoho, Matan Gavish

An unknown by matrix is to be estimated from noisy measurements , where the noise matrix has i.i.d. Gaussian entries. A popular matrix denoising scheme s…

cs.IT2013★ 59 cited

The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising

David L. Donoho, Matan Gavish, Andrea Montanari

Let be an unknown by matrix. In matrix recovery, one takes linear measurements of , where $y_i = \Tr(a_i^T X_0)$ and each is a …