Project and Forget: Solving Large Scale Metric Constrained Problems

ICLR 2020 Anonymous

Given a set of distances amongst points, determining what metric representation is most “consistent” with the input distances or the metric that captures the relevant geometric features of the data is a key step in many machine learning algorithms. In this paper, we focus on metric constrained problems, a class of optimization problems with metric constraints... (read more)

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