4 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ML2011★ 1 cited
Sparse Inverse Covariance Estimation via an Adaptive Gradient-Based Method
Suvrit Sra, Dongmin Kim
We study the problem of estimating from data, a sparse approximation to the inverse covariance matrix. Estimating a sparsity constrained inverse covariance matrix is a key componen…
cs.IT2009
A Trivial Observation related to Sparse Recovery
Suvrit Sra
We make a trivial modification to the elegant analysis of Garg and Khandekar (\emph{Gradient Descent with Sparsification} ICML 2009) that replaces the standard Restricted Isometry…
cs.DS2008★ 4 cited
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
In the past few years powerful generalizations to the Euclidean k-means problem have been made, such as Bregman clustering [7], co-clustering (i.e., simultaneous clustering of rows…