Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs

30 May 2016Anton OsokinJean-Baptiste AlayracIsabella LukasewitzPuneet K. DokaniaSimon Lacoste-Julien

In this paper, we propose several improvements on the block-coordinate Frank-Wolfe (BCFW) algorithm from Lacoste-Julien et al. (2013) recently used to optimize the structured support vector machine (SSVM) objective in the context of structured prediction, though it has wider applications. The key intuition behind our improvements is that the estimates of block gaps maintained by BCFW reveal the block suboptimality that can be used as an adaptive criterion... (read more)

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