most citedHigh-Dimensional Graphical Model Selection Using -Regularized Logistic Regression

62 citations · 69 across the 2 of their papers we have counts for

collaborators

3 papers

math.ST2008★ 62 cited

High-Dimensional Graphical Model Selection Using -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 -regularized logistic regression, in…

stat.ML2008

Time Varying Undirected Graphs

Shuheng Zhou, John Lafferty, Larry Wasserman

Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using penalization methods. However, cur…

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…