Pradeep Ravikumar

most citedHigh-Dimensional Graphical Model Selection Using

ℓ_{1}

-Regularized Logistic Regression

62 citations · 118 across the 3 of their papers we have counts for

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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★ 7 cited

Sparse Additive Models

Pradeep Ravikumar, John Lafferty, Han Liu +1

We present a new class of methods for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse linea…

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

Sparse Additive Models

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