Mistake Bounds for Binary Matrix Completion

Mark Herbster, Stephen Pasteris, Massimiliano Pontil

Neural Information Processing Systems 

We study the problem of completing a binary matrix in an online learning setting. On each trial we predict a matrix entry and then receive the true entry.

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