31 citations · 38 across the 17 of their papers we have counts for
Showing 2019 · math.OCShow all
2 papers · 2 filters
math.OC2019
Sparse linear regression with compressed and low-precision data via concave quadratic programming
Vito Cerone, Sophie M. Fosson, Diego Regruto
We consider the problem of the recovery of a k-sparse vector from compressed linear measurements when data are corrupted by a quantization noise. When the number of measurements is…
math.OC2019
A linear programming approach to sparse linear regression with quantized data
Vito Cerone, Sophie M. Fosson, Diego Regruto
The sparse linear regression problem is difficult to handle with usual sparse optimization models when both predictors and measurements are either quantized or represented in low-p…