M. Wainwright

activity

20042008

most citedHigh-Dimensional Graphical Model Selection Using

ℓ_{1}

-Regularized Logistic Regression

62 citations · 226 across the 13 of their papers we have counts for

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math.ST2008★ 11 cited

Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices

Wei Wang, Martin J. Wainwright, Kannan Ramchandran

We study the information-theoretic limits of exactly recovering the support of a sparse signal using noisy projections defined by various classes of measurement matrices. Our analy…

math.ST2008★ 62 cited

High-Dimensional Graphical Model Selection Using $ℓ_{1}$ -Regularized Logistic Regression

Pradeep Ravikumar, Martin J. Wainwright, John D. Lafferty

We consider the problem of estimating the graph structure associated with a discrete Markov random field. We describe a method based on $ℓ_{1}$ -regularized logistic regression, in…

math.ST2007★ 23 cited

Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting

Martin J. Wainwright

The problem of recovering the sparsity pattern of a fixed but unknown vector $β^{*} \in ℜ^{p} ba se d o na se t o f$ n$ noisy observations arises in a variety of settings, including su…

Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices

High-Dimensional Graphical Model Selection Using ℓ1​-Regularized Logistic Regression

Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting

High-Dimensional Graphical Model Selection Using $ℓ_{1}$ -Regularized Logistic Regression