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"NIPS Neural Information Processing Systems 8-11th December 2014, Montreal, Canada",,, "Paper ID:","1527" "Title:","Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning" Current Reviews First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper considers asynchronous parallel updates in stochastic gradient descent with delays. This is a very important problem in large-scale distributed data processing. The objective of the problem studied in this paper is to achieve regret bounds similar to the ones obtained by adaptive gradient (i.e. This boils down to keeping track of updates to gradient coordinates.