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Proximal quasi-Newton methods for regularized convex optimization with linear and accelerated sublinear convergence rates

Published Online: 2017-11-20

Published Print: 2018-04

Authors

Ghanbari, Hiva

Scheinberg, Katya
Funding

Funding for this research was provided by:

Directorate for Mathematical and Physical Sciences (13-19356)

Air Force Office of Scientific Research (FA9550-11-1-0239)

Defense Advanced Research Projects Agency (FA 9550-12-1-0406)
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Text and Data Mining valid from 2017-11-20

Version of Record valid from 2017-11-20
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Article History

Received: 28 July 2016

First Online: 20 November 2017

Document is current