16 citations · 37 across the 8 of their papers we have counts for
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stat.ML2017★ 1 cited
Signal and Noise Statistics Oblivious Sparse Reconstruction using OMP/OLS
Sreejith Kallummil, Sheetal Kalyani
Orthogonal matching pursuit (OMP) and orthogonal least squares (OLS) are widely used for sparse signal reconstruction in under-determined linear regression problems. The performanc…
stat.ML2017★ 3 cited
Tuning Free Orthogonal Matching Pursuit
Sreejith Kallummil, Sheetal Kalyani
Orthogonal matching pursuit (OMP) is a widely used compressive sensing (CS) algorithm for recovering sparse signals in noisy linear regression models. The performance of OMP depend…
stat.ML2017
High SNR Consistent Compressive Sensing
Sreejith Kallummil, Sheetal Kalyani
High signal to noise ratio (SNR) consistency of model selection criteria in linear regression models has attracted a lot of attention recently. However, most of the existing litera…