research
∙
01/31/2020
Centralized and distributed online learning for sparse time-varying optimization
The development of online algorithms to track time-varying systems has d...
share
research
∙
09/09/2019
Sparse linear regression with compressed and low-precision data via concave quadratic programming
We consider the problem of the recovery of a k-sparse vector from compre...
research
∙
05/30/2019
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization
The recovery of signals with finite-valued components from few linear me...
research
∙
12/07/2018
A biconvex analysis for Lasso l1 reweighting
l1 reweighting algorithms are very popular in sparse signal recovery and...
research
∙
07/07/2017