132 citations · 1.3k across the 52 of their papers we have counts for
5 papers · 1 filter
ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models
Talal Ahmed, Waheed U. Bajwa
Statistical inference can be computationally prohibitive in ultrahigh-dimensional linear models. Correlation-based variable screening, in which one leverages marginal correlations…
A Multiple Hypothesis Testing Approach to Low-Complexity Subspace Unmixing
Waheed U. Bajwa, Dustin G. Mixon
Subspace-based signal processing traditionally focuses on problems involving a few subspaces. Recently, a number of problems in different application areas have emerged that involv…
Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression
Waheed U. Bajwa, Marco F. Duarte, Robert Calderbank
The linear model, in which a set of observations is assumed to be given by a linear combination of columns of a matrix, has long been the mainstay of the statistics and signal proc…
Group Model Selection Using Marginal Correlations: The Good, the Bad and the Ugly
Waheed U. Bajwa, Dustin G. Mixon
Group model selection is the problem of determining a small subset of groups of predictors (e.g., the expression data of genes) that are responsible for majority of the variation i…
Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection
Waheed U. Bajwa, Robert Calderbank, Sina Jafarpour
This paper studies non-asymptotic model selection for the general case of arbitrary design matrices and arbitrary nonzero entries of the signal. In this regard, it generalizes the…