62 citations · 226 across the 13 of their papers we have counts for
13 papers
High-dimensional covariance estimation by minimizing -penalized log-determinant divergence
Pradeep Ravikumar, Martin J. Wainwright, Garvesh Raskutti +1
Given i.i.d. observations of a random vector , we study the problem of estimating both its covariance matrix , and its inverse covariance or concentration…
Lower Bounds on the Rate-Distortion Function of LDGM Codes
A. G. Dimakis, M. J. Wainwright, K. Ramchandran
A recent line of work has focused on the use of low-density generator matrix (LDGM) codes for lossy source coding. In this paper, wedevelop a generic technique for deriving lower b…
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…
High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency
Dapo Omidiran, Martin J. Wainwright
We consider the problem of estimating the support of a vector based on observations contaminated by noise. A significant body of work has studied behavior…
Network-based consensus averaging with general noisy channels
Ram Rajagopal, Martin J. Wainwright
This paper focuses on the consensus averaging problem on graphs under general noisy channels. We study a particular class of distributed consensus algorithms based on damped update…
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…