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

Epi-convergent Smoothing with Applications to Convex Composite Functions

James V. Burke, Tim Hoheisel

Smoothing methods have become part of the standard tool set for the study and solution of nondifferentiable and constrained optimization problems as well as a range of other variat…