S. Negahban

activity

20092020

most citedRestricted strong convexity and weighted matrix completion: Optimal bounds with noise

435 citations · 1.7k across the 22 of their papers we have counts for

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Showing 2009Show all

2 papers · 1 filter

math.ST2009★ 43 cited

Estimation of (near) low-rank matrices with noise and high-dimensional scaling

Sahand Negahban, Martin J. Wainwright

High-dimensional inference refers to problems of statistical estimation in which the ambient dimension of the data may be comparable to or possibly even larger than the sample size…

math.ST2009★ 2 cited

Simultaneous support recovery in high dimensions: Benefits and perils of block $ℓ_{1} / ℓ_{\infty}$ -regularization

S. Negahban, M. J. Wainwright

Consider the use of $ℓ_{1} / ℓ_{\infty}$ -regularized regression for joint estimation of a $\pdim \times \numreg$ matrix of regression coefficients. We analyze the high-dimensio…

Estimation of (near) low-rank matrices with noise and high-dimensional scaling

Simultaneous support recovery in high dimensions: Benefits and perils of block ℓ1​/ℓ∞​-regularization

Simultaneous support recovery in high dimensions: Benefits and perils of block $ℓ_{1} / ℓ_{\infty}$ -regularization