35 citations · 107 across the 26 of their papers we have counts for
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stat.ML2016★ 2 cited
Sparse recovery via Orthogonal Least-Squares under presence of Noise
Abolfazl Hashemi, Haris Vikalo
We consider the Orthogonal Least-Squares (OLS) algorithm for the recovery of a -dimensional -sparse signal from a low number of noisy linear measurements. The Exact Recovery…
stat.ML2016★ 1 cited
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares
Abolfazl Hashemi, Haris Vikalo
We study the problem of inferring a sparse vector from random linear combinations of its components. We propose the Accelerated Orthogonal Least-Squares (AOLS) algorithm that impro…
stat.ML2016
Sparse Linear Regression via Generalized Orthogonal Least-Squares
Abolfazl Hashemi, Haris Vikalo
Sparse linear regression, which entails finding a sparse solution to an underdetermined system of linear equations, can formally be expressed as an -constrained least-squares…