most citedConvex vs nonconvex approaches for sparse estimation: GLasso, Multiple Kernel Learning and Hyperparameter GLasso

5 citations · 5 across the 4 of their papers we have counts for

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math.OC2013

Optimization viewpoint on Kalman smoothing, with applications to robust and sparse estimation

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto

In this paper, we present the optimization formulation of the Kalman filtering and smoothing problems, and use this perspective to develop a variety of extensions and applications.…

math.OC2012

Sparse seismic imaging using variable projection

Aleksandr Y. Aravkin, Tristan van Leeuwen, Ning Tu

We consider an important class of signal processing problems where the signal of interest is known to be sparse, and can be recovered from data given auxiliary information about ho…